Papers of possible interest to Sig Metrics readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Thu Mar 20 17:16:34 EDT 2014
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Title:
A model for scaling in firms' size and growth rate distribution
Authors:
Metzig, C; Gordon, MB
Author Full Names:
Metzig, Cornelia; Gordon, Mirta B.
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 398 264-279; 10.1016/j.physa.2013.11.027 MAR 15 2014
Language:
English
Document Type:
Article
Author Keywords:
Power-law distribution, Tent-shape, Growth process, Superstatistics, Heavy-tailed distribution, Firm growth
KeyWords Plus:
POWER LAWS; ZIPFS LAW; MULTIPLICATIVE PROCESSES; INCOME-DISTRIBUTION; COMPANY GROWTH; BOLTZMANN LAWS; BEHAVIOR; EQUATIONS; VARIANCE; DYNAMICS
Abstract:
We introduce a simple agent-based model which allows us to analyze three
stylized facts: a fat-tailed size distribution of companies, a
'tent-shaped' growth rate distribution, the scaling relation of the
growth rate variance with firm size, and the causality between them.
This is achieved under the simple hypothesis that firms compete for a
scarce quantity (either aggregate demand or workforce) which is
allocated probabilistically. The model allows us to relate size and
growth rate distributions. We compare the results of our model to
simulations with other scaling relationships, and to similar models and
relate it to existing theory. Effects arising from binning data are
discussed. (C) 2013 Elsevier B.V. All rights reserved.
Addresses:
[Metzig, Cornelia; Gordon, Mirta B.] Univ Grenoble 1, F-38041 Grenoble, France.
[Gordon, Mirta B.] CNRS, Lab LIG, F-75700 Paris, France.
E-mail Addresses:
cornelia.metzig at hotmail.com; mirta.gordon at imag.fr
Cited Reference Count:
48
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
Web of Science Categories:
Physics, Multidisciplinary; PHYSICS, MULTIDISCIPLINARY
Research Areas:
Physics
IDS Number:
AB0SA
Unique ID:
WOS:000331501200027
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Title:
Summarization of scientific documents by detecting common facts in citations
Authors:
Chen, JQ; Zhuge, H
Author Full Names:
Chen, Jingqiang; Zhuge, Hai
Source:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 32 246-252; 10.1016/j.future.2013.07.018 MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Summarization, Semantic link network, Natural language processing
Abstract:
Reading scientific articles is more time-consuming than reading news
because readers need to search and read many citations. This paper
proposes a citation guided method for summarizing multiple scientific
papers. A phenomenon we can observe is that citation sentences in one
paragraph or section usually talk about a common fact, which is usually
represented as a set of noun phrases co-occurring in citation texts and
it is usually discussed from different aspects. We design a
multi-document summarization system based on common fact detection. One
challenge is that citations may not use the same terms to refer to a
common fact. We thus use term association discovering algorithm to
expand terms based on a large set of scientific article abstracts. Then,
citations can be clustered based on common facts. The common fact is
used as a salient term set to get relevant sentences from the
corresponding *cited articles* to form a summary. Experiments show that
our method outperforms three baseline methods by ROUGE metric. (C) 2013
Elsevier B.V. All rights reserved.
Addresses:
Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
[Zhuge, Hai] Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China.
Aston Univ, Birmingham B4 7ET, W Midlands, England.
E-mail Addresses:
zhuge at ict.ac.cn
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-739X
Web of Science Categories:
Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS
Research Areas:
Computer Science
IDS Number:
AA9LJ
Unique ID:
WOS:000331414700021
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Nastase V., 2008, EMNLP2008, P763
Zhuge H., 2004, The Knowledge Grid,
Wan Stephen, 2009, JCDL 09: PROCEEDINGS OF THE 2009 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES9th Annual International ACM/IEEE Joint Conferene on Digital Libraries, JUN 15-19, 2009, Austin, TX, P59
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Title:
2014 SCIENCE INDICATORS New NSF Report Shows Where US Leads and Lags
Authors:
Mervis, J
Author Full Names:
Mervis, Jeffrey
Source:
SCIENCE, 343 (6172):718-718; FEB 14 2014
Language:
English
Document Type:
News Item
Cited Reference Count:
0
Times Cited:
0
Publisher:
AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
ISSN:
0036-8075
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AB1NB
Unique ID:
WOS:000331557800009
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Title:
A New Parameter Estimation Method for a *Zipf-like* Distribution for Geospatial Data Access
Authors:
Li, R; Feng, W; Wang, H; Wu, HY
Author Full Names:
Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi
Source:
ETRI JOURNAL, 36 (1):134-140; 10.4218/etrij.14.0113.0293 FEB 2014
Language:
English
Document Type:
Article
Author Keywords:
Cache, least squares method of estimation, moment method of estimation, modeling, geographic information system
KeyWords Plus:
WEB; MODEL
Abstract:
Many reports have shown that the access pattern for geospatial tiles
follows *Zipf*'s law and that its parameter a represents the access
characteristics. However, visits to geospatial tiles have temporal and
spatial popularities, and the a-value changes as they change. We
construct a mathematical model to simulate the user's access behavior by
studying the attributes of frequently visited tile objects to determine
parameter estimation algorithms. Because the least squares (LS) method
in common use cannot obtain an exact alpha-value and does not provide a
suitable fit to data for frequently visited tiles, we present a new
approach, which uses a moment method of estimation to obtain the value
of alpha when alpha is close to 1. When alpha is further away from 1,
the method uses the associated cache hit ratio for tile access and uses
an LS method based on a critical cache size to estimate the value of
alpha. The decrease in the estimation error is presented and discussed
in the section on experiment results. This new method, which provides a
more accurate estimate of alpha than earlier methods, promises more
effective prediction of requests for frequently accessed tiles for
better caching and load balancing.
Addresses:
[Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.
E-mail Addresses:
ruili at whu.edu.cn; subrainbow at qq.com; alexwhu at 163.com; wuhuayi at whu.deu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41071248, 41371370]; National High Technology Research and Development Program of China [2012AA12Z401]; LIESMARS
Funding Text:
This work was supported by the National Natural Science Foundation of China (Grant No.41071248 and No. 41371370), the National High Technology Research and Development Program of China (Grant No. 2012AA12Z401) and the LIESMARS Special Research Funding. The mathematical model in section 2 of this paper was presented at the International Conference on Computer Science and Education (ICCSE 2012). We acknowledge the recommendations from the International Conference.
Cited Reference Count:
20
Times Cited:
0
Publisher:
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA
ISSN:
1225-6463
Web of Science Categories:
Engineering, Electrical & Electronic; Telecommunications; ENGINEERING, ELECTRICAL & ELECTRONIC; TELECOMMUNICATIONS
Research Areas:
Engineering; Telecommunications
IDS Number:
AA5QP
Unique ID:
WOS:000331155000015
Cited References:
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Bell D.G, 2007, Proc. IEEE Aerospace Conf., Mar. 3-10, 2007, P1
Ganguly A.R., 2007, Learning from Data Streams: Processing Techniques in Sensor Networks, P205
Wang H., 2009, Research on Distributed Load Balancing and Cache Technologies for Multimedia Networked GIS,
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Wang Hao, 2010, Geomatics and Information Science of Wuhan University, V35,
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Title:
*Scientometric* facts on international collaborative Indian publications
Authors:
Prakasan, ER; Mohan, L; Girap, P; Surwase, G; Kademani, BS; Bhanumurthy,
K
Author Full Names:
Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani,
B. S.; Bhanumurthy, K.
Source:
CURRENT SCIENCE, 106 (2):166-169; JAN 25 2014
Language:
English
Document Type:
Article
Author Keywords:
Collaborative research, domains of collaboration, multilateral collaboration, scientometric analyses
KeyWords Plus:
SCIENTIFIC COLLABORATION
Abstract:
The upward trend in collaborative S&T research at the international
level is significant in the present Information and Communication
Technology era. The present study focuses on analysing India's strengths
and weaknesses in collaborative research at the international level and
collaborative fields are analysed for their macro- and micro-levels. The
chronological trend of international collaboration, the collaborative
countries, quality of the collaborative publications, collaborative
fields, specialization in collaboration, etc. are the main criteria
evaluated in the present work.
Addresses:
[Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani, B. S.; Bhanumurthy, K.] Bhabha Atom Res Ctr, Knowledge Management Grp, Sci Informat Resource Div, Bombay 400085, Maharashtra, India.
E-mail Addresses:
prak at barc.gov.in
Cited Reference Count:
12
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AA8KT
Unique ID:
WOS:000331345100014
Cited References:
Cummings J. N., 2005, Paper 93,
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Title:
Bibliometric-enhanced Retrieval Models for Big Scholarly Information Systems
Authors:
Mayr, P; Mutschke, P
Author Full Names:
Mayr, Philipp; Mutschke, Peter
Editor(s):
Hu X; Lin TY; Raghavan V; Wah B; BaezaYates R; Fox G; Shahabi C; Smith M; Yang Q; Ghani R; Fan W; Lempel R; Nambiar R
Source:
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Big Data (Big Data)
Conference Date:
OCT 06-09, 2013
Conference Location:
Santa Clara, CA
Conference Sponsors:
IEEE, IEEE Comp Soc, CCF, Yahoo Labs, CISCO
Author Keywords:
Bibliometrics, Scientometrics, Information Retrieval, Digital Libraries
KeyWords Plus:
SCIENTIFIC COLLABORATION; NETWORKS; SCIENCE; CITATION
Abstract:
Bibliometric techniques are not yet widely used to enhance retrieval
processes in digital libraries, although they offer value-added effects
for users. In this paper we will explore how statistical modelling of
scholarship, such as Bradfordizing or network analysis of coauthorship
network, can improve retrieval services for specific communities, as
well as for large, cross-domain large collections. This paper aims to
raise awareness of the missing link between information retrieval (IR)
and bibliometrics / *scientometrics* and to create a common ground for
the incorporation of bibliometric-enhanced services into retrieval at
the digital library interface.
Addresses:
[Mayr, Philipp; Mutschke, Peter] GESIS Leibniz Inst Social Sci, Cologne, Germany.
E-mail Addresses:
philipp.mayr at gesis.org; peter.mutschke at gesis.org
Cited Reference Count:
26
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-1292-6
ISBN:
978-1-4799-1293-3
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BA0BK
Unique ID:
WOS:000330831300219
Cited References:
Glaenzel Wolfgang, 2009, SCIENTOMETRICS11th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 25-27, 2007, Madrid, SPAIN, V79, P109
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Title:
Summarization of scientific documents by detecting common facts in *citations*
Authors:
Chen, JQ; Zhuge, H
Author Full Names:
Chen, Jingqiang; Zhuge, Hai
Source:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 32 246-252; 10.1016/j.future.2013.07.018 MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Summarization, Semantic link network, Natural language processing
Abstract:
Reading scientific articles is more time-consuming than reading news
because readers need to search and read many citations. This paper
proposes a citation guided method for summarizing multiple scientific
papers. A phenomenon we can observe is that citation sentences in one
paragraph or section usually talk about a common fact, which is usually
represented as a set of noun phrases co-occurring in citation texts and
it is usually discussed from different aspects. We design a
multi-document summarization system based on common fact detection. One
challenge is that citations may not use the same terms to refer to a
common fact. We thus use term association discovering algorithm to
expand terms based on a large set of scientific article abstracts. Then,
citations can be clustered based on common facts. The common fact is
used as a salient term set to get relevant sentences from the
corresponding cited articles to form a summary. Experiments show that
our method outperforms three baseline methods by ROUGE metric. (C) 2013
Elsevier B.V. All rights reserved.
Addresses:
Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
[Zhuge, Hai] Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China.
Aston Univ, Birmingham B4 7ET, W Midlands, England.
E-mail Addresses:
zhuge at ict.ac.cn
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-739X
Web of Science Categories:
Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS
Research Areas:
Computer Science
IDS Number:
AA9LJ
Unique ID:
WOS:000331414700021
Cited References:
Nastase V., 2008, EMNLP2008, P763
Zhuge H., 2004, The Knowledge Grid,
Wan Stephen, 2009, JCDL 09: PROCEEDINGS OF THE 2009 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES9th Annual International ACM/IEEE Joint Conferene on Digital Libraries, JUN 15-19, 2009, Austin, TX, P59
Nanba H, 1999, IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 216th International Joint Conference on Artificial Intelligence (IJCAI 99), JUL 31-AUG 06, 1999, STOCKHOLM, SWEDEN, P926
Qazvinian V., 2010, ACL2010, P555
Jbara A., 2011, ACL2011, P500
Beil F., 2002, SIGKDD2002, P436
Qazvinian V., 2008, Proceedings of the 22nd International Conference on Computational Linguistics, V1, P689
Qazvinian V., 2010, COLING2010, P895
Xu B., IJCAI 2013,
Teufel S., 2006, EMNLP2006, P103
Knight K, 2002, ARTIFICIAL INTELLIGENCE, V139, P91
Zhuge H, 2008, WEB RESOURCE SPACE MODEL, V4, P1
Radev D. R., 2004, LREC2004, Lisbon, Portugal,
Joseph KT., 2007, Technical Report CSE-TR-535-07,
Yih Wen-tau, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE20th International Joint Conference on Artificial Intelligence, JAN 06-12, 2007, Hyderabad, INDIA, P1776
Han J., 2006, Data mining: Concepts and Techniques,
Strzalkowski T., 1998, AAAI1998,
Carbonell J., 1998, Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '98, New York, NY, USA, V99, P335
Lin C., 2000, COLING2000, P495
Radev DR, 2004, INFORMATION PROCESSING & MANAGEMENT, V40, P919
Hearst M.A., 2004, Proceedings of LREC 2004, May, 2004, Lisbon, Portugal,
Elkiss A., 1999, Journal of the American Society for Information Science and Technology Archive, V59, P51
Zhuge Hai, 2012, IEEE TRANSACTIONS ON SERVICES COMPUTING, V5, P404
Erkan G, 2004, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, V22, P457
Agarwal N., 2011, ACL2011, P115
Mohammad S., 2009, NAACL2009, P584
Teufel S, 2002, COMPUTATIONAL LINGUISTICS, V28, P409
Chali Y., 1999, AAAI1999,
Zhuge Hai, 2011, ARTIFICIAL INTELLIGENCE, V175, P988
Shen D., 2007, Proceedings of the 20th International Joint Conference on Artifical Intelligence, V7, P2862
Wan Xiaojun, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE20th International Joint Conference on Artificial Intelligence, JAN 06-12, 2007, Hyderabad, INDIA, P2903
Daume Hal, III, 2006, COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics, JUL 17-21, 2006, Sydney, AUSTRALIA, P305
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Title:
The *impact factor*, the h index and other *bibliometric* indicators
Authors:
Miro, O; Burbano, P
Author Full Names:
Miro, O.; Burbano, P.
Source:
ANALES DEL SISTEMA SANITARIO DE NAVARRA, 36 (3):371-377; SEP-DEC 2013
Language:
Spanish
Document Type:
Editorial Material
KeyWords Plus:
EMERGENCY-MEDICINE; RESEARCH OUTPUT; PRODUCTIVITY; PHYSICIANS; MISUSE; CARE
Addresses:
[Miro, O.] Hosp Clin Barcelona, Area Urgencias, Barcelona 08036, Spain.
[Burbano, P.] Secretaria Educ Super Ciencia Tecnol & Innovac SE, Quito, Ecuador.
E-mail Addresses:
omiro at clinic.cat
Cited Reference Count:
34
Times Cited:
0
Publisher:
GOBIERNO DE NAVARRA, NAVAS TOLOSA 21, PAMPLONA, 31002, SPAIN
ISSN:
1137-6627
Web of Science Categories:
Public, Environmental & Occupational Health; PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SCI; PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SSCI
Research Areas:
Public, Environmental & Occupational Health
IDS Number:
AA8JC
Unique ID:
WOS:000331340800001
Cited References:
Burillo-Putze Guillermo, 2011, EMERGENCIAS, V23, P81
Pagel P. S., 2011, ANAESTHESIA, V66, P873
Miro Oscar, 2012, EMERGENCIAS, V24, P341
IMPERIAL J, 2005, Utilidad del indice h de Hirsch para evaluar la investigacion en Espana,
DE LUCA LA, 2013, Acad Emerg Med,
Salgado Jesus F., 2007, PSICOTHEMA, V19, P179
Miro Oscar, 2012, EMERGENCIAS, V24, P262
Miro Oscar, 2012, EUROPEAN JOURNAL OF EMERGENCY MEDICINE, V19, P63
Sesma J., 2010, ANALES DEL SISTEMA SANITARIO DE NAVARRA, V33, P5
Palacios Cena Domingo, 2012, EMERGENCIAS, V24, P410
Gregori Junior Francisco, 2012, REVISTA BRASILEIRA DE CIRURGIA CARDIOVASCULAR, V27, P370
Cone David C., 2012, ACADEMIC EMERGENCY MEDICINE, V19, PE1085
Miro Oscar, 2012, EMERGENCIAS, V24, P164
Grupo Scimago, 2007, El profesional de la informacion, V16, P47
Alonso G., 2010, ANALES DEL SISTEMA SANITARIO DE NAVARRA, V33, P97
Pendlebury David A., 2009, ARCHIVUM IMMUNOLOGIAE ET THERAPIAE EXPERIMENTALIS, V57, P1
JULIAN-JIMENEZ A, 2011, Emergencias, V23, P341
GONZALEZ DE DIOS J, 1998, Rev Esp Pediatr, V54, P430
SJR, SCImago Journal & Country Rank,
Graham Colin A., 2009, EUROPEAN JOURNAL OF EMERGENCY MEDICINE, V16, P169
Miro Oscar, 2011, EMERGENCIAS, V23, P261
MIRO O, 2013, Manual basico para el urgenciologo investigador. De la idea original a la publicacion final, P317
Burbano Pablo, 2013, EMERGENCIAS, V25, P245
Miro Oscar, 2012, EMERGENCIAS, V24, P1
ISI Web of Knowledge, Journal Citation Reports,
Kumar V, 2009, SINGAPORE MEDICAL JOURNAL, V50, P752
GARFIELD E, 1955, SCIENCE, V122, P108
Cremades Pallas R., 2013, ANALES DEL SISTEMA SANITARIO DE NAVARRA, V36, P467
Mintegi Santiago, 2012, EMERGENCIAS, V24, P238
Pinera Salmeron Pascual, 2012, EMERGENCIAS, V24, P234
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Google Scholar, Top Publications-Spanish,
Javier Martin-Sanchez Francisco, 2012, EMERGENCIAS, V24, P81
Vianney Pons Joan Maria, 2013, MEDICINA CLINICA, V140, P325
=
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Title:
*Bibliometric-enhanced* Retrieval Models for Big Scholarly Information Systems
Authors:
Mayr, P; Mutschke, P
Author Full Names:
Mayr, Philipp; Mutschke, Peter
Editor(s):
Hu X; Lin TY; Raghavan V; Wah B; BaezaYates R; Fox G; Shahabi C; Smith M; Yang Q; Ghani R; Fan W; Lempel R; Nambiar R
Source:
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Big Data (Big Data)
Conference Date:
OCT 06-09, 2013
Conference Location:
Santa Clara, CA
Conference Sponsors:
IEEE, IEEE Comp Soc, CCF, Yahoo Labs, CISCO
Author Keywords:
Bibliometrics, Scientometrics, Information Retrieval, Digital Libraries
KeyWords Plus:
SCIENTIFIC COLLABORATION; NETWORKS; SCIENCE; CITATION
Abstract:
Bibliometric techniques are not yet widely used to enhance retrieval
processes in digital libraries, although they offer value-added effects
for users. In this paper we will explore how statistical modelling of
scholarship, such as Bradfordizing or network analysis of coauthorship
network, can improve retrieval services for specific communities, as
well as for large, cross-domain large collections. This paper aims to
raise awareness of the missing link between information retrieval (IR)
and bibliometrics / scientometrics and to create a common ground for the
incorporation of bibliometric-enhanced services into retrieval at the
digital library interface.
Addresses:
[Mayr, Philipp; Mutschke, Peter] GESIS Leibniz Inst Social Sci, Cologne, Germany.
E-mail Addresses:
philipp.mayr at gesis.org; peter.mutschke at gesis.org
Cited Reference Count:
26
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-1292-6
ISBN:
978-1-4799-1293-3
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BA0BK
Unique ID:
WOS:000330831300219
Cited References:
Glaenzel Wolfgang, 2009, SCIENTOMETRICS11th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 25-27, 2007, Madrid, SPAIN, V79, P109
Liu XM, 2005, INFORMATION PROCESSING & MANAGEMENT, V41, P1462
He Zi-Lin, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2151
Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389
Mutschke P., 2001, Research and Advanced Technology for Digital Libraries: 5th European Conference, ECDL 2001, Proceedings, V2163, P287
Bates M. J., 2002, the Fourth International Conference on Conceptions of Library and Information Science (CoLIS 4),
ZHOU D, 2007, P 7 IEEE INT C DAT M, P739
FREEMAN LC, 1977, SOCIOMETRY, V40, P35
Bavelas A., 1948, Applied Anthropology, V7, P16
Yin Li-chun, 2006, INFORMATION PROCESSING & MANAGEMENT, V42, P1599
Bassecoulard E., 2007, 11th International Conference on Scientometrics and Informetrics (ISSI 2007), 25-27 June, 2007, Madrid, Spain, P74
Boerner Katy, 2011, SCIENTOMETRICS, V89, P347
Chen Chaomei, 2009, JOURNAL OF INFORMETRICS, V3, P191
Borner Katy, 2009, JOURNAL OF INFORMETRICS, V3, P161
WHITE HD, 1981, ONLINE REVIEW, V5, P47
Mutschke P., 1994, Information Systems and Data Analysis. Prospects-Foundations-Applications. Proceedings 17th Annual Conference of the GfKl 1993, Heidelberg Berlin, P127
Newman MEJ, 2001, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V98, P404
Yan E., 2009, JASIST, V60,
Mutschke P, 2001, SCIENTOMETRICS2nd Berlin Workshop on Scientometrics and Informatics/Collaboration in Science and in Technology, SEP 01-04, 2000, BERLIN, GERMANY, V52, P487
Mutschke Peter, 2011, SCIENTOMETRICS, V89, P349
Mayr P., 2013, 14th International Society of Scientometrics and Informetrics Conference, Vienna, Austria, P1493
Newman MEJ, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5200
Barabasi AL, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V311, P590
Jiang Y., 2008, Scientometrics, V74, P471
2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P1
BATES MJ, 1990, INFORMATION PROCESSING & MANAGEMENT, V26, P575
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Title:
A model for scaling in firms' size and growth rate distribution
Authors:
Metzig, C; Gordon, MB
Author Full Names:
Metzig, Cornelia; Gordon, Mirta B.
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 398 264-279; 10.1016/j.physa.2013.11.027 MAR 15 2014
Language:
English
Document Type:
Article
Author Keywords:
Power-law distribution, Tent-shape, Growth process, Superstatistics, Heavy-tailed distribution, Firm growth
KeyWords Plus:
POWER LAWS; ZIPFS LAW; MULTIPLICATIVE PROCESSES; INCOME-DISTRIBUTION; COMPANY GROWTH; BOLTZMANN LAWS; BEHAVIOR; EQUATIONS; VARIANCE; DYNAMICS
Abstract:
We introduce a simple agent-based model which allows us to analyze three
stylized facts: a fat-tailed size distribution of companies, a
'tent-shaped' growth rate distribution, the scaling relation of the
growth rate variance with firm size, and the causality between them.
This is achieved under the simple hypothesis that firms compete for a
scarce quantity (either aggregate demand or workforce) which is
allocated probabilistically. The model allows us to relate size and
growth rate distributions. We compare the results of our model to
simulations with other scaling relationships, and to similar models and
relate it to existing theory. Effects arising from binning data are
discussed. (C) 2013 Elsevier B.V. All rights reserved.
Addresses:
[Metzig, Cornelia; Gordon, Mirta B.] Univ Grenoble 1, F-38041 Grenoble, France.
[Gordon, Mirta B.] CNRS, Lab LIG, F-75700 Paris, France.
E-mail Addresses:
cornelia.metzig at hotmail.com; mirta.gordon at imag.fr
Cited Reference Count:
48
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
Web of Science Categories:
Physics, Multidisciplinary; PHYSICS, MULTIDISCIPLINARY
Research Areas:
Physics
IDS Number:
AB0SA
Unique ID:
WOS:000331501200027
Cited References:
Picoli S., Jr., 2006, EUROPHYSICS LETTERS, V75, P673
Alfarano Simone, 2012, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, V36, P136
Bottazzi Giulio, 2006, RAND JOURNAL OF ECONOMICS, V37, P235
Metzig Cornelia, 2012, ArXiv Preprint arXiv:1211.5575,
Erlingsson Einar Jon, 2013, J. Econ. Interact. Coord., P1
Sutton J, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V312, P577
Fu DF, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P18801
Schwarzkopf Yonathan, 2010, An explanation of universality in growth fluctuations,
Beck C, 2001, PHYSICAL REVIEW LETTERS, V87,
Newman MEJ, 2005, CONTEMPORARY PHYSICS, V46, P323
Sornette D, 1997, JOURNAL DE PHYSIQUE I, V7, P431
Gabaix X, 1999, QUARTERLY JOURNAL OF ECONOMICS, V114, P739
Bettencourt Luis, 2013, ArXiv Preprint arXiv:1301.5919,
Okuyama K, 1999, PHYSICA AInternational Workshop on Econophysics and Statistical Finance, SEP 28-30, 1998, PALERMO, ITALY, V269, P125
Biro TS, 2005, PHYSICAL REVIEW LETTERS, V94,
Krugman P., 1996, The Self-Organizing Economy,
SCHENZLE A, 1979, PHYSICAL REVIEW A, V20, P1628
Amaral LAN, 1997, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V244, P1
HUBERMAN BA, 1993, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V90, P7716
Kinsella Stephen, 2011, Eastern Econ. J., V37, P134
Marsili M, 1998, PHYSICA A, V253, P403
Stanley MHR, 1996, NATURE, V379, P804
Richmond P, 2001, INTERNATIONAL JOURNAL OF MODERN PHYSICS C, V12, P333
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Yule GU, 1925, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES B-CONTAINING PAPERS OF A BIOLOGICAL CHARACTER, V213, P21
Takayasu Misako, 2013, ArXiv Preprint arXiv:1301.2728,
Sornette D, 1998, PHYSICAL REVIEW E, V57, P4811
Champernowne D. G., 1953, ECONOMIC JOURNAL, V63, P318
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Axtell Robert L., 2001, Science, V293,
Marsili M, 1998, PHYSICAL REVIEW LETTERS, V80, P2741
Soares DJB, 2005, EUROPHYSICS LETTERS, V70, P70
Lee YK, 1998, PHYSICAL REVIEW LETTERS, V81, P3275
Borland L, 1998, PHYSICS LETTERS A, V245, P67
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Gibrat Robert, 1931, Les Inegalites Economiques, Recueil Sirey,
Wang M.C., 1945, Reviews of Modern Physics, V17,
Mondani Hernan, 2012, Statistical mechanics of organizational growth processes,
Wyart M, 2003, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V326, P241
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KESTEN H, 1973, ACTA MATHEMATICA, V131, P207
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Beck C, 2003, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V322, P267
Langevin Paul, 1908, On the theory of Brownian motion,
Sutton J, 1997, JOURNAL OF ECONOMIC LITERATURE, V35, P40
Bottazzi Giulio, 2013, Technical Report,
Gabaix Xavier, 2008, Technical Report,
FOLEY DK, 1994, JOURNAL OF ECONOMIC THEORY, V62, P321
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Title:
Summarization of scientific documents by detecting common facts in citations
Authors:
Chen, JQ; Zhuge, H
Author Full Names:
Chen, Jingqiang; Zhuge, Hai
Source:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 32 246-252; 10.1016/j.future.2013.07.018 MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Summarization, Semantic link network, Natural language processing
Abstract:
Reading scientific articles is more time-consuming than reading news
because readers need to search and read many citations. This paper
proposes a citation guided method for summarizing multiple scientific
papers. A phenomenon we can observe is that citation sentences in one
paragraph or section usually talk about a common fact, which is usually
represented as a set of noun phrases co-occurring in citation texts and
it is usually discussed from different aspects. We design a
multi-document summarization system based on common fact detection. One
challenge is that citations may not use the same terms to refer to a
common fact. We thus use term association discovering algorithm to
expand terms based on a large set of scientific article abstracts. Then,
citations can be clustered based on common facts. The common fact is
used as a salient term set to get relevant sentences from the
corresponding *cited articles* to form a summary. Experiments show that
our method outperforms three baseline methods by ROUGE metric. (C) 2013
Elsevier B.V. All rights reserved.
Addresses:
Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
[Zhuge, Hai] Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China.
Aston Univ, Birmingham B4 7ET, W Midlands, England.
E-mail Addresses:
zhuge at ict.ac.cn
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-739X
Web of Science Categories:
Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS
Research Areas:
Computer Science
IDS Number:
AA9LJ
Unique ID:
WOS:000331414700021
Cited References:
Nastase V., 2008, EMNLP2008, P763
Zhuge H., 2004, The Knowledge Grid,
Wan Stephen, 2009, JCDL 09: PROCEEDINGS OF THE 2009 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES9th Annual International ACM/IEEE Joint Conferene on Digital Libraries, JUN 15-19, 2009, Austin, TX, P59
Nanba H, 1999, IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 216th International Joint Conference on Artificial Intelligence (IJCAI 99), JUL 31-AUG 06, 1999, STOCKHOLM, SWEDEN, P926
Qazvinian V., 2010, ACL2010, P555
Jbara A., 2011, ACL2011, P500
Beil F., 2002, SIGKDD2002, P436
Qazvinian V., 2008, Proceedings of the 22nd International Conference on Computational Linguistics, V1, P689
Qazvinian V., 2010, COLING2010, P895
Xu B., IJCAI 2013,
Teufel S., 2006, EMNLP2006, P103
Knight K, 2002, ARTIFICIAL INTELLIGENCE, V139, P91
Zhuge H, 2008, WEB RESOURCE SPACE MODEL, V4, P1
Radev D. R., 2004, LREC2004, Lisbon, Portugal,
Joseph KT., 2007, Technical Report CSE-TR-535-07,
Yih Wen-tau, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE20th International Joint Conference on Artificial Intelligence, JAN 06-12, 2007, Hyderabad, INDIA, P1776
Han J., 2006, Data mining: Concepts and Techniques,
Strzalkowski T., 1998, AAAI1998,
Carbonell J., 1998, Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '98, New York, NY, USA, V99, P335
Lin C., 2000, COLING2000, P495
Radev DR, 2004, INFORMATION PROCESSING & MANAGEMENT, V40, P919
Hearst M.A., 2004, Proceedings of LREC 2004, May, 2004, Lisbon, Portugal,
Elkiss A., 1999, Journal of the American Society for Information Science and Technology Archive, V59, P51
Zhuge Hai, 2012, IEEE TRANSACTIONS ON SERVICES COMPUTING, V5, P404
Erkan G, 2004, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, V22, P457
Agarwal N., 2011, ACL2011, P115
Mohammad S., 2009, NAACL2009, P584
Teufel S, 2002, COMPUTATIONAL LINGUISTICS, V28, P409
Chali Y., 1999, AAAI1999,
Zhuge Hai, 2011, ARTIFICIAL INTELLIGENCE, V175, P988
Shen D., 2007, Proceedings of the 20th International Joint Conference on Artifical Intelligence, V7, P2862
Wan Xiaojun, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE20th International Joint Conference on Artificial Intelligence, JAN 06-12, 2007, Hyderabad, INDIA, P2903
Daume Hal, III, 2006, COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE21st International Conference on Computational Linguistics/44th Annual Meeting of the Association for Computational Linguistics, JUL 17-21, 2006, Sydney, AUSTRALIA, P305
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Title:
2014 SCIENCE INDICATORS New NSF Report Shows Where US Leads and Lags
Authors:
Mervis, J
Author Full Names:
Mervis, Jeffrey
Source:
SCIENCE, 343 (6172):718-718; FEB 14 2014
Language:
English
Document Type:
News Item
Cited Reference Count:
0
Times Cited:
0
Publisher:
AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
ISSN:
0036-8075
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AB1NB
Unique ID:
WOS:000331557800009
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Title:
A New Parameter Estimation Method for a *Zipf-like* Distribution for Geospatial Data Access
Authors:
Li, R; Feng, W; Wang, H; Wu, HY
Author Full Names:
Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi
Source:
ETRI JOURNAL, 36 (1):134-140; 10.4218/etrij.14.0113.0293 FEB 2014
Language:
English
Document Type:
Article
Author Keywords:
Cache, least squares method of estimation, moment method of estimation, modeling, geographic information system
KeyWords Plus:
WEB; MODEL
Abstract:
Many reports have shown that the access pattern for geospatial tiles
follows *Zipf*'s law and that its parameter a represents the access
characteristics. However, visits to geospatial tiles have temporal and
spatial popularities, and the a-value changes as they change. We
construct a mathematical model to simulate the user's access behavior by
studying the attributes of frequently visited tile objects to determine
parameter estimation algorithms. Because the least squares (LS) method
in common use cannot obtain an exact alpha-value and does not provide a
suitable fit to data for frequently visited tiles, we present a new
approach, which uses a moment method of estimation to obtain the value
of alpha when alpha is close to 1. When alpha is further away from 1,
the method uses the associated cache hit ratio for tile access and uses
an LS method based on a critical cache size to estimate the value of
alpha. The decrease in the estimation error is presented and discussed
in the section on experiment results. This new method, which provides a
more accurate estimate of alpha than earlier methods, promises more
effective prediction of requests for frequently accessed tiles for
better caching and load balancing.
Addresses:
[Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.
E-mail Addresses:
ruili at whu.edu.cn; subrainbow at qq.com; alexwhu at 163.com; wuhuayi at whu.deu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41071248, 41371370]; National High Technology Research and Development Program of China [2012AA12Z401]; LIESMARS
Funding Text:
This work was supported by the National Natural Science Foundation of China (Grant No.41071248 and No. 41371370), the National High Technology Research and Development Program of China (Grant No. 2012AA12Z401) and the LIESMARS Special Research Funding. The mathematical model in section 2 of this paper was presented at the International Conference on Computer Science and Education (ICCSE 2012). We acknowledge the recommendations from the International Conference.
Cited Reference Count:
20
Times Cited:
0
Publisher:
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA
ISSN:
1225-6463
Web of Science Categories:
Engineering, Electrical & Electronic; Telecommunications; ENGINEERING, ELECTRICAL & ELECTRONIC; TELECOMMUNICATIONS
Research Areas:
Engineering; Telecommunications
IDS Number:
AA5QP
Unique ID:
WOS:000331155000015
Cited References:
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Title:
*Scientometric* facts on international collaborative Indian publications
Authors:
Prakasan, ER; Mohan, L; Girap, P; Surwase, G; Kademani, BS; Bhanumurthy,
K
Author Full Names:
Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani,
B. S.; Bhanumurthy, K.
Source:
CURRENT SCIENCE, 106 (2):166-169; JAN 25 2014
Language:
English
Document Type:
Article
Author Keywords:
Collaborative research, domains of collaboration, multilateral collaboration, scientometric analyses
KeyWords Plus:
SCIENTIFIC COLLABORATION
Abstract:
The upward trend in collaborative S&T research at the international
level is significant in the present Information and Communication
Technology era. The present study focuses on analysing India's strengths
and weaknesses in collaborative research at the international level and
collaborative fields are analysed for their macro- and micro-levels. The
chronological trend of international collaboration, the collaborative
countries, quality of the collaborative publications, collaborative
fields, specialization in collaboration, etc. are the main criteria
evaluated in the present work.
Addresses:
[Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani, B. S.; Bhanumurthy, K.] Bhabha Atom Res Ctr, Knowledge Management Grp, Sci Informat Resource Div, Bombay 400085, Maharashtra, India.
E-mail Addresses:
prak at barc.gov.in
Cited Reference Count:
12
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AA8KT
Unique ID:
WOS:000331345100014
Cited References:
Cummings J. N., 2005, Paper 93,
Basu A, 2001, SCIENTOMETRICS2nd Berlin Workshop on Scientometrics and Informatics/Collaboration in Science and in Technology, SEP 01-04, 2000, BERLIN, GERMANY, V52, P379
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Title:
Bibliometric-enhanced Retrieval Models for Big Scholarly Information Systems
Authors:
Mayr, P; Mutschke, P
Author Full Names:
Mayr, Philipp; Mutschke, Peter
Editor(s):
Hu X; Lin TY; Raghavan V; Wah B; BaezaYates R; Fox G; Shahabi C; Smith M; Yang Q; Ghani R; Fan W; Lempel R; Nambiar R
Source:
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Big Data (Big Data)
Conference Date:
OCT 06-09, 2013
Conference Location:
Santa Clara, CA
Conference Sponsors:
IEEE, IEEE Comp Soc, CCF, Yahoo Labs, CISCO
Author Keywords:
Bibliometrics, Scientometrics, Information Retrieval, Digital Libraries
KeyWords Plus:
SCIENTIFIC COLLABORATION; NETWORKS; SCIENCE; CITATION
Abstract:
Bibliometric techniques are not yet widely used to enhance retrieval
processes in digital libraries, although they offer value-added effects
for users. In this paper we will explore how statistical modelling of
scholarship, such as Bradfordizing or network analysis of coauthorship
network, can improve retrieval services for specific communities, as
well as for large, cross-domain large collections. This paper aims to
raise awareness of the missing link between information retrieval (IR)
and bibliometrics / *scientometrics* and to create a common ground for
the incorporation of bibliometric-enhanced services into retrieval at
the digital library interface.
Addresses:
[Mayr, Philipp; Mutschke, Peter] GESIS Leibniz Inst Social Sci, Cologne, Germany.
E-mail Addresses:
philipp.mayr at gesis.org; peter.mutschke at gesis.org
Cited Reference Count:
26
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-1292-6
ISBN:
978-1-4799-1293-3
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BA0BK
Unique ID:
WOS:000330831300219
Cited References:
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Yan E., 2009, JASIST, V60,
Mutschke P, 2001, SCIENTOMETRICS2nd Berlin Workshop on Scientometrics and Informatics/Collaboration in Science and in Technology, SEP 01-04, 2000, BERLIN, GERMANY, V52, P487
Mutschke Peter, 2011, SCIENTOMETRICS, V89, P349
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Jiang Y., 2008, Scientometrics, V74, P471
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Title:
A model for scaling in firms' size and growth rate distribution
Authors:
Metzig, C; Gordon, MB
Author Full Names:
Metzig, Cornelia; Gordon, Mirta B.
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 398 264-279; 10.1016/j.physa.2013.11.027 MAR 15 2014
Language:
English
Document Type:
Article
Author Keywords:
Power-law distribution, Tent-shape, Growth process, Superstatistics, Heavy-tailed distribution, Firm growth
KeyWords Plus:
POWER LAWS; ZIPFS LAW; MULTIPLICATIVE PROCESSES; INCOME-DISTRIBUTION; COMPANY GROWTH; BOLTZMANN LAWS; BEHAVIOR; EQUATIONS; VARIANCE; DYNAMICS
Abstract:
We introduce a simple agent-based model which allows us to analyze three
stylized facts: a fat-tailed size distribution of companies, a
'tent-shaped' growth rate distribution, the scaling relation of the
growth rate variance with firm size, and the causality between them.
This is achieved under the simple hypothesis that firms compete for a
scarce quantity (either aggregate demand or workforce) which is
allocated probabilistically. The model allows us to relate size and
growth rate distributions. We compare the results of our model to
simulations with other scaling relationships, and to similar models and
relate it to existing theory. Effects arising from binning data are
discussed. (C) 2013 Elsevier B.V. All rights reserved.
Addresses:
[Metzig, Cornelia; Gordon, Mirta B.] Univ Grenoble 1, F-38041 Grenoble, France.
[Gordon, Mirta B.] CNRS, Lab LIG, F-75700 Paris, France.
E-mail Addresses:
cornelia.metzig at hotmail.com; mirta.gordon at imag.fr
Cited Reference Count:
48
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
Web of Science Categories:
Physics, Multidisciplinary; PHYSICS, MULTIDISCIPLINARY
Research Areas:
Physics
IDS Number:
AB0SA
Unique ID:
WOS:000331501200027
Cited References:
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Alfarano Simone, 2012, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, V36, P136
Bottazzi Giulio, 2006, RAND JOURNAL OF ECONOMICS, V37, P235
Metzig Cornelia, 2012, ArXiv Preprint arXiv:1211.5575,
Erlingsson Einar Jon, 2013, J. Econ. Interact. Coord., P1
Sutton J, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V312, P577
Fu DF, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P18801
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Title:
Summarization of scientific documents by detecting common facts in citations
Authors:
Chen, JQ; Zhuge, H
Author Full Names:
Chen, Jingqiang; Zhuge, Hai
Source:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 32 246-252; 10.1016/j.future.2013.07.018 MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Summarization, Semantic link network, Natural language processing
Abstract:
Reading scientific articles is more time-consuming than reading news
because readers need to search and read many citations. This paper
proposes a citation guided method for summarizing multiple scientific
papers. A phenomenon we can observe is that citation sentences in one
paragraph or section usually talk about a common fact, which is usually
represented as a set of noun phrases co-occurring in citation texts and
it is usually discussed from different aspects. We design a
multi-document summarization system based on common fact detection. One
challenge is that citations may not use the same terms to refer to a
common fact. We thus use term association discovering algorithm to
expand terms based on a large set of scientific article abstracts. Then,
citations can be clustered based on common facts. The common fact is
used as a salient term set to get relevant sentences from the
corresponding *cited articles* to form a summary. Experiments show that
our method outperforms three baseline methods by ROUGE metric. (C) 2013
Elsevier B.V. All rights reserved.
Addresses:
Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
[Zhuge, Hai] Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China.
Aston Univ, Birmingham B4 7ET, W Midlands, England.
E-mail Addresses:
zhuge at ict.ac.cn
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-739X
Web of Science Categories:
Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS
Research Areas:
Computer Science
IDS Number:
AA9LJ
Unique ID:
WOS:000331414700021
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Strzalkowski T., 1998, AAAI1998,
Carbonell J., 1998, Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '98, New York, NY, USA, V99, P335
Lin C., 2000, COLING2000, P495
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Hearst M.A., 2004, Proceedings of LREC 2004, May, 2004, Lisbon, Portugal,
Elkiss A., 1999, Journal of the American Society for Information Science and Technology Archive, V59, P51
Zhuge Hai, 2012, IEEE TRANSACTIONS ON SERVICES COMPUTING, V5, P404
Erkan G, 2004, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, V22, P457
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Title:
2014 SCIENCE INDICATORS New NSF Report Shows Where US Leads and Lags
Authors:
Mervis, J
Author Full Names:
Mervis, Jeffrey
Source:
SCIENCE, 343 (6172):718-718; FEB 14 2014
Language:
English
Document Type:
News Item
Cited Reference Count:
0
Times Cited:
0
Publisher:
AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
ISSN:
0036-8075
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AB1NB
Unique ID:
WOS:000331557800009
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Title:
A New Parameter Estimation Method for a *Zipf-like* Distribution for Geospatial Data Access
Authors:
Li, R; Feng, W; Wang, H; Wu, HY
Author Full Names:
Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi
Source:
ETRI JOURNAL, 36 (1):134-140; 10.4218/etrij.14.0113.0293 FEB 2014
Language:
English
Document Type:
Article
Author Keywords:
Cache, least squares method of estimation, moment method of estimation, modeling, geographic information system
KeyWords Plus:
WEB; MODEL
Abstract:
Many reports have shown that the access pattern for geospatial tiles
follows *Zipf*'s law and that its parameter a represents the access
characteristics. However, visits to geospatial tiles have temporal and
spatial popularities, and the a-value changes as they change. We
construct a mathematical model to simulate the user's access behavior by
studying the attributes of frequently visited tile objects to determine
parameter estimation algorithms. Because the least squares (LS) method
in common use cannot obtain an exact alpha-value and does not provide a
suitable fit to data for frequently visited tiles, we present a new
approach, which uses a moment method of estimation to obtain the value
of alpha when alpha is close to 1. When alpha is further away from 1,
the method uses the associated cache hit ratio for tile access and uses
an LS method based on a critical cache size to estimate the value of
alpha. The decrease in the estimation error is presented and discussed
in the section on experiment results. This new method, which provides a
more accurate estimate of alpha than earlier methods, promises more
effective prediction of requests for frequently accessed tiles for
better caching and load balancing.
Addresses:
[Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.
E-mail Addresses:
ruili at whu.edu.cn; subrainbow at qq.com; alexwhu at 163.com; wuhuayi at whu.deu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41071248, 41371370]; National High Technology Research and Development Program of China [2012AA12Z401]; LIESMARS
Funding Text:
This work was supported by the National Natural Science Foundation of China (Grant No.41071248 and No. 41371370), the National High Technology Research and Development Program of China (Grant No. 2012AA12Z401) and the LIESMARS Special Research Funding. The mathematical model in section 2 of this paper was presented at the International Conference on Computer Science and Education (ICCSE 2012). We acknowledge the recommendations from the International Conference.
Cited Reference Count:
20
Times Cited:
0
Publisher:
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA
ISSN:
1225-6463
Web of Science Categories:
Engineering, Electrical & Electronic; Telecommunications; ENGINEERING, ELECTRICAL & ELECTRONIC; TELECOMMUNICATIONS
Research Areas:
Engineering; Telecommunications
IDS Number:
AA5QP
Unique ID:
WOS:000331155000015
Cited References:
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Title:
*Scientometric* facts on international collaborative Indian publications
Authors:
Prakasan, ER; Mohan, L; Girap, P; Surwase, G; Kademani, BS; Bhanumurthy,
K
Author Full Names:
Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani,
B. S.; Bhanumurthy, K.
Source:
CURRENT SCIENCE, 106 (2):166-169; JAN 25 2014
Language:
English
Document Type:
Article
Author Keywords:
Collaborative research, domains of collaboration, multilateral collaboration, scientometric analyses
KeyWords Plus:
SCIENTIFIC COLLABORATION
Abstract:
The upward trend in collaborative S&T research at the international
level is significant in the present Information and Communication
Technology era. The present study focuses on analysing India's strengths
and weaknesses in collaborative research at the international level and
collaborative fields are analysed for their macro- and micro-levels. The
chronological trend of international collaboration, the collaborative
countries, quality of the collaborative publications, collaborative
fields, specialization in collaboration, etc. are the main criteria
evaluated in the present work.
Addresses:
[Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani, B. S.; Bhanumurthy, K.] Bhabha Atom Res Ctr, Knowledge Management Grp, Sci Informat Resource Div, Bombay 400085, Maharashtra, India.
E-mail Addresses:
prak at barc.gov.in
Cited Reference Count:
12
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AA8KT
Unique ID:
WOS:000331345100014
Cited References:
Cummings J. N., 2005, Paper 93,
Basu A, 2001, SCIENTOMETRICS2nd Berlin Workshop on Scientometrics and Informatics/Collaboration in Science and in Technology, SEP 01-04, 2000, BERLIN, GERMANY, V52, P379
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Title:
Bibliometric-enhanced Retrieval Models for Big Scholarly Information Systems
Authors:
Mayr, P; Mutschke, P
Author Full Names:
Mayr, Philipp; Mutschke, Peter
Editor(s):
Hu X; Lin TY; Raghavan V; Wah B; BaezaYates R; Fox G; Shahabi C; Smith M; Yang Q; Ghani R; Fan W; Lempel R; Nambiar R
Source:
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Big Data (Big Data)
Conference Date:
OCT 06-09, 2013
Conference Location:
Santa Clara, CA
Conference Sponsors:
IEEE, IEEE Comp Soc, CCF, Yahoo Labs, CISCO
Author Keywords:
Bibliometrics, Scientometrics, Information Retrieval, Digital Libraries
KeyWords Plus:
SCIENTIFIC COLLABORATION; NETWORKS; SCIENCE; CITATION
Abstract:
Bibliometric techniques are not yet widely used to enhance retrieval
processes in digital libraries, although they offer value-added effects
for users. In this paper we will explore how statistical modelling of
scholarship, such as Bradfordizing or network analysis of coauthorship
network, can improve retrieval services for specific communities, as
well as for large, cross-domain large collections. This paper aims to
raise awareness of the missing link between information retrieval (IR)
and bibliometrics / *scientometrics* and to create a common ground for
the incorporation of bibliometric-enhanced services into retrieval at
the digital library interface.
Addresses:
[Mayr, Philipp; Mutschke, Peter] GESIS Leibniz Inst Social Sci, Cologne, Germany.
E-mail Addresses:
philipp.mayr at gesis.org; peter.mutschke at gesis.org
Cited Reference Count:
26
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-1292-6
ISBN:
978-1-4799-1293-3
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BA0BK
Unique ID:
WOS:000330831300219
Cited References:
Glaenzel Wolfgang, 2009, SCIENTOMETRICS11th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 25-27, 2007, Madrid, SPAIN, V79, P109
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Yan E., 2009, JASIST, V60,
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Title:
A model for scaling in firms' size and growth rate distribution
Authors:
Metzig, C; Gordon, MB
Author Full Names:
Metzig, Cornelia; Gordon, Mirta B.
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 398 264-279; 10.1016/j.physa.2013.11.027 MAR 15 2014
Language:
English
Document Type:
Article
Author Keywords:
Power-law distribution, Tent-shape, Growth process, Superstatistics, Heavy-tailed distribution, Firm growth
KeyWords Plus:
POWER LAWS; ZIPFS LAW; MULTIPLICATIVE PROCESSES; INCOME-DISTRIBUTION; COMPANY GROWTH; BOLTZMANN LAWS; BEHAVIOR; EQUATIONS; VARIANCE; DYNAMICS
Abstract:
We introduce a simple agent-based model which allows us to analyze three
stylized facts: a fat-tailed size distribution of companies, a
'tent-shaped' growth rate distribution, the scaling relation of the
growth rate variance with firm size, and the causality between them.
This is achieved under the simple hypothesis that firms compete for a
scarce quantity (either aggregate demand or workforce) which is
allocated probabilistically. The model allows us to relate size and
growth rate distributions. We compare the results of our model to
simulations with other scaling relationships, and to similar models and
relate it to existing theory. Effects arising from binning data are
discussed. (C) 2013 Elsevier B.V. All rights reserved.
Addresses:
[Metzig, Cornelia; Gordon, Mirta B.] Univ Grenoble 1, F-38041 Grenoble, France.
[Gordon, Mirta B.] CNRS, Lab LIG, F-75700 Paris, France.
E-mail Addresses:
cornelia.metzig at hotmail.com; mirta.gordon at imag.fr
Cited Reference Count:
48
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
Web of Science Categories:
Physics, Multidisciplinary; PHYSICS, MULTIDISCIPLINARY
Research Areas:
Physics
IDS Number:
AB0SA
Unique ID:
WOS:000331501200027
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Alfarano Simone, 2012, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, V36, P136
Bottazzi Giulio, 2006, RAND JOURNAL OF ECONOMICS, V37, P235
Metzig Cornelia, 2012, ArXiv Preprint arXiv:1211.5575,
Erlingsson Einar Jon, 2013, J. Econ. Interact. Coord., P1
Sutton J, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V312, P577
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Title:
Summarization of scientific documents by detecting common facts in citations
Authors:
Chen, JQ; Zhuge, H
Author Full Names:
Chen, Jingqiang; Zhuge, Hai
Source:
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, 32 246-252; 10.1016/j.future.2013.07.018 MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Summarization, Semantic link network, Natural language processing
Abstract:
Reading scientific articles is more time-consuming than reading news
because readers need to search and read many citations. This paper
proposes a citation guided method for summarizing multiple scientific
papers. A phenomenon we can observe is that citation sentences in one
paragraph or section usually talk about a common fact, which is usually
represented as a set of noun phrases co-occurring in citation texts and
it is usually discussed from different aspects. We design a
multi-document summarization system based on common fact detection. One
challenge is that citations may not use the same terms to refer to a
common fact. We thus use term association discovering algorithm to
expand terms based on a large set of scientific article abstracts. Then,
citations can be clustered based on common facts. The common fact is
used as a salient term set to get relevant sentences from the
corresponding *cited articles* to form a summary. Experiments show that
our method outperforms three baseline methods by ROUGE metric. (C) 2013
Elsevier B.V. All rights reserved.
Addresses:
Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China.
[Zhuge, Hai] Nanjing Univ Posts & Telecommun, Nanjing 210003, Jiangsu, Peoples R China.
Aston Univ, Birmingham B4 7ET, W Midlands, England.
E-mail Addresses:
zhuge at ict.ac.cn
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-739X
Web of Science Categories:
Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS
Research Areas:
Computer Science
IDS Number:
AA9LJ
Unique ID:
WOS:000331414700021
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Han J., 2006, Data mining: Concepts and Techniques,
Strzalkowski T., 1998, AAAI1998,
Carbonell J., 1998, Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '98, New York, NY, USA, V99, P335
Lin C., 2000, COLING2000, P495
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Hearst M.A., 2004, Proceedings of LREC 2004, May, 2004, Lisbon, Portugal,
Elkiss A., 1999, Journal of the American Society for Information Science and Technology Archive, V59, P51
Zhuge Hai, 2012, IEEE TRANSACTIONS ON SERVICES COMPUTING, V5, P404
Erkan G, 2004, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, V22, P457
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Title:
2014 SCIENCE INDICATORS New NSF Report Shows Where US Leads and Lags
Authors:
Mervis, J
Author Full Names:
Mervis, Jeffrey
Source:
SCIENCE, 343 (6172):718-718; FEB 14 2014
Language:
English
Document Type:
News Item
Cited Reference Count:
0
Times Cited:
0
Publisher:
AMER ASSOC ADVANCEMENT SCIENCE, 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
ISSN:
0036-8075
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AB1NB
Unique ID:
WOS:000331557800009
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Title:
A New Parameter Estimation Method for a *Zipf-like* Distribution for Geospatial Data Access
Authors:
Li, R; Feng, W; Wang, H; Wu, HY
Author Full Names:
Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi
Source:
ETRI JOURNAL, 36 (1):134-140; 10.4218/etrij.14.0113.0293 FEB 2014
Language:
English
Document Type:
Article
Author Keywords:
Cache, least squares method of estimation, moment method of estimation, modeling, geographic information system
KeyWords Plus:
WEB; MODEL
Abstract:
Many reports have shown that the access pattern for geospatial tiles
follows *Zipf*'s law and that its parameter a represents the access
characteristics. However, visits to geospatial tiles have temporal and
spatial popularities, and the a-value changes as they change. We
construct a mathematical model to simulate the user's access behavior by
studying the attributes of frequently visited tile objects to determine
parameter estimation algorithms. Because the least squares (LS) method
in common use cannot obtain an exact alpha-value and does not provide a
suitable fit to data for frequently visited tiles, we present a new
approach, which uses a moment method of estimation to obtain the value
of alpha when alpha is close to 1. When alpha is further away from 1,
the method uses the associated cache hit ratio for tile access and uses
an LS method based on a critical cache size to estimate the value of
alpha. The decrease in the estimation error is presented and discussed
in the section on experiment results. This new method, which provides a
more accurate estimate of alpha than earlier methods, promises more
effective prediction of requests for frequently accessed tiles for
better caching and load balancing.
Addresses:
[Li, Rui; Feng, Wei; Wang, Hao; Wu, Huayi] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Hubei, Peoples R China.
E-mail Addresses:
ruili at whu.edu.cn; subrainbow at qq.com; alexwhu at 163.com; wuhuayi at whu.deu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41071248, 41371370]; National High Technology Research and Development Program of China [2012AA12Z401]; LIESMARS
Funding Text:
This work was supported by the National Natural Science Foundation of China (Grant No.41071248 and No. 41371370), the National High Technology Research and Development Program of China (Grant No. 2012AA12Z401) and the LIESMARS Special Research Funding. The mathematical model in section 2 of this paper was presented at the International Conference on Computer Science and Education (ICCSE 2012). We acknowledge the recommendations from the International Conference.
Cited Reference Count:
20
Times Cited:
0
Publisher:
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST, 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA
ISSN:
1225-6463
Web of Science Categories:
Engineering, Electrical & Electronic; Telecommunications; ENGINEERING, ELECTRICAL & ELECTRONIC; TELECOMMUNICATIONS
Research Areas:
Engineering; Telecommunications
IDS Number:
AA5QP
Unique ID:
WOS:000331155000015
Cited References:
Fang Yi, 2010, KNOWLEDGE DISCOVERY FROM SENSOR DATA2nd International Workshop on Knowledge Discovery from Sensor Data, AUG 24-27, 2008, Las Vegas, NV, V5840, P190
Adamic L.A., 2002, Glottometrics, V3, P143
Bell D.G, 2007, Proc. IEEE Aerospace Conf., Mar. 3-10, 2007, P1
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Title:
*Scientometric* facts on international collaborative Indian publications
Authors:
Prakasan, ER; Mohan, L; Girap, P; Surwase, G; Kademani, BS; Bhanumurthy,
K
Author Full Names:
Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani,
B. S.; Bhanumurthy, K.
Source:
CURRENT SCIENCE, 106 (2):166-169; JAN 25 2014
Language:
English
Document Type:
Article
Author Keywords:
Collaborative research, domains of collaboration, multilateral collaboration, scientometric analyses
KeyWords Plus:
SCIENTIFIC COLLABORATION
Abstract:
The upward trend in collaborative S&T research at the international
level is significant in the present Information and Communication
Technology era. The present study focuses on analysing India's strengths
and weaknesses in collaborative research at the international level and
collaborative fields are analysed for their macro- and micro-levels. The
chronological trend of international collaboration, the collaborative
countries, quality of the collaborative publications, collaborative
fields, specialization in collaboration, etc. are the main criteria
evaluated in the present work.
Addresses:
[Prakasan, E. R.; Mohan, Lalit; Girap, Priya; Surwase, Ganesh; Kademani, B. S.; Bhanumurthy, K.] Bhabha Atom Res Ctr, Knowledge Management Grp, Sci Informat Resource Div, Bombay 400085, Maharashtra, India.
E-mail Addresses:
prak at barc.gov.in
Cited Reference Count:
12
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AA8KT
Unique ID:
WOS:000331345100014
Cited References:
Cummings J. N., 2005, Paper 93,
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Title:
Bibliometric-enhanced Retrieval Models for Big Scholarly Information Systems
Authors:
Mayr, P; Mutschke, P
Author Full Names:
Mayr, Philipp; Mutschke, Peter
Editor(s):
Hu X; Lin TY; Raghavan V; Wah B; BaezaYates R; Fox G; Shahabi C; Smith M; Yang Q; Ghani R; Fan W; Lempel R; Nambiar R
Source:
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Big Data (Big Data)
Conference Date:
OCT 06-09, 2013
Conference Location:
Santa Clara, CA
Conference Sponsors:
IEEE, IEEE Comp Soc, CCF, Yahoo Labs, CISCO
Author Keywords:
Bibliometrics, Scientometrics, Information Retrieval, Digital Libraries
KeyWords Plus:
SCIENTIFIC COLLABORATION; NETWORKS; SCIENCE; CITATION
Abstract:
Bibliometric techniques are not yet widely used to enhance retrieval
processes in digital libraries, although they offer value-added effects
for users. In this paper we will explore how statistical modelling of
scholarship, such as Bradfordizing or network analysis of coauthorship
network, can improve retrieval services for specific communities, as
well as for large, cross-domain large collections. This paper aims to
raise awareness of the missing link between information retrieval (IR)
and bibliometrics / *scientometrics* and to create a common ground for
the incorporation of bibliometric-enhanced services into retrieval at
the digital library interface.
Addresses:
[Mayr, Philipp; Mutschke, Peter] GESIS Leibniz Inst Social Sci, Cologne, Germany.
E-mail Addresses:
philipp.mayr at gesis.org; peter.mutschke at gesis.org
Cited Reference Count:
26
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-1292-6
ISBN:
978-1-4799-1293-3
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BA0BK
Unique ID:
WOS:000330831300219
Cited References:
Glaenzel Wolfgang, 2009, SCIENTOMETRICS11th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 25-27, 2007, Madrid, SPAIN, V79, P109
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He Zi-Lin, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2151
Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389
Mutschke P., 2001, Research and Advanced Technology for Digital Libraries: 5th European Conference, ECDL 2001, Proceedings, V2163, P287
Bates M. J., 2002, the Fourth International Conference on Conceptions of Library and Information Science (CoLIS 4),
ZHOU D, 2007, P 7 IEEE INT C DAT M, P739
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Bavelas A., 1948, Applied Anthropology, V7, P16
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Boerner Katy, 2011, SCIENTOMETRICS, V89, P347
Chen Chaomei, 2009, JOURNAL OF INFORMETRICS, V3, P191
Borner Katy, 2009, JOURNAL OF INFORMETRICS, V3, P161
WHITE HD, 1981, ONLINE REVIEW, V5, P47
Mutschke P., 1994, Information Systems and Data Analysis. Prospects-Foundations-Applications. Proceedings 17th Annual Conference of the GfKl 1993, Heidelberg Berlin, P127
Newman MEJ, 2001, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V98, P404
Yan E., 2009, JASIST, V60,
Mutschke P, 2001, SCIENTOMETRICS2nd Berlin Workshop on Scientometrics and Informatics/Collaboration in Science and in Technology, SEP 01-04, 2000, BERLIN, GERMANY, V52, P487
Mutschke Peter, 2011, SCIENTOMETRICS, V89, P349
Mayr P., 2013, 14th International Society of Scientometrics and Informetrics Conference, Vienna, Austria, P1493
Newman MEJ, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5200
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Title:
A Monte Carlo permutation test for co-occurrence data
Authors:
Kovacs, B
Author Full Names:
Kovacs, Balazs
Source:
QUALITY & QUANTITY, 48 (2):955-960; 10.1007/s11135-012-9817-x MAR 2014
Language:
English
Document Type:
Article
Author Keywords:
Co-occurrence data, Association tests, Permutation tests, Non-parametric statistics
Abstract:
Researchers commonly use co-occurrence counts to assess the similarity
of objects. This paper illustrates how traditional association measures
can lead to misguided significance tests of co-occurrence in settings
where the usual multinomial sampling assumptions do not hold. I propose
a Monte Carlo permutation test that preserves the original distributions
of the co-occurrence data. I illustrate the test on a dataset of
organizational categorization, in which I investigate the relations
between organizational categories (such as "Argentine restaurants" and
"Steakhouses").
Addresses:
Univ Lugano, Inst Management, CH-6900 Lugano, Switzerland.
E-mail Addresses:
kovacsb at usi.ch
Cited Reference Count:
9
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0033-5177
Web of Science Categories:
Social Sciences, Interdisciplinary; Statistics & Probability; SOCIAL SCIENCES, INTERDISCIPLINARY; STATISTICS & PROBABILITY
Research Areas:
Social Sciences - Other Topics; Mathematics
IDS Number:
AA3MG
Unique ID:
WOS:000330996000027
Cited References:
Pearson Karl, 1900, PHILOSOPHICAL MAGAZINE, V50, P157
Dean J, 1999, COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING, V31, P1467
Manning C. D, 1999, Foundations of Statistical Natural Language Processing,
Wickens T. D., 1989, Multiway Contingency Tables Analysis for the Social Sciences,
HUBERT LJ, 1985, PSYCHOMETRIKA, V50, P449
Good P. I., 2005, Permutation, Parametric and Bootstrap Tests of Hypotheses,
GARFIELD E, 1972, SCIENCE, V178, P471
Agresti A., 1992, Statist. Sci., V7, P131
BREIGER RL, 1974, SOCIAL FORCES, V53, P181
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Title:
The methodological quality of systematic reviews published in high-impact nursing journals: a review of the literature
Authors:
Polkki, T; Kanste, O; Kaariainen, M; Elo, S; Kyngas, H
Author Full Names:
Polkki, Tarja; Kanste, Outi; Kaariainen, Maria; Elo, Satu; Kyngas, Helvi
Source:
JOURNAL OF CLINICAL NURSING, 23 (3-4):315-332; 10.1111/jocn.12132 FEB 2014
Language:
English
Document Type:
Review
Author Keywords:
methodology, nursing, quality, review, review literature, systematic
KeyWords Plus:
RANDOMIZED CONTROLLED-TRIALS; HEALTH-CARE; MENTAL-ILLNESS; HEART-FAILURE; OLDER-PEOPLE; CANCER CARE; INTERVENTIONS; METAANALYSES; RISK; DISORDERS
Abstract:
Aims and objectivesTo analyse systematic review articles published in
the top 10 nursing journals to determine the quality of the methods
employed within them.
BackgroundSystematic review is defined as a scientific research method
that synthesises high-quality scientific knowledge on a given topic. The
number of such reviews in nursing science has increased dramatically
during recent years, but their methodological quality has not previously
been assessed.
DesignA review of the literature using a narrative approach.
MethodsRanked impact factor scores for nursing journals were obtained
from the Journal Citation Report database of the Institute of Scientific
Information (ISI Web of Knowledge). All issues from the years 2009 and
2010 of the top 10 ranked journals were included. CINAHL and MEDLINE
databases were searched to locate studies using the search terms
systematic review' and systematic literature review'. A total of 39
eligible studies were identified. Their methodological quality was
evaluated through the specific criteria of quality assessment,
description of synthesis and strengths and weaknesses reported in the
included studies.
ResultsMost of the eligible systematic reviews included several
different designs or types of quantitative study. The majority included
a quality assessment, and a total of 17 different criteria were
identified. The method of synthesis was mentioned in about half of the
reviews, the most common being narrative synthesis. The weaknesses of
reviews were discussed, while strengths were rarely highlighted.
ConclusionThe methodological quality of the systematic reviews examined
varied considerably, although they were all published in nursing
journals with a high-impact factor.
Relevance to clinical practiceDespite the fact that systematic reviews
are considered the most robust source of research evidence, they vary in
methodological quality. This point is important to consider in clinical
practice when applying the results to patient care.
Addresses:
[Polkki, Tarja; Kaariainen, Maria; Elo, Satu] Univ Oulu, Inst Hlth Sci, Oulu 90014, Finland.
[Kanste, Outi] Natl Inst Hlth & Welf, Oulu, Finland.
[Kyngas, Helvi] Univ Oulu, Inst Hlth Sci, Univ Hosp Oulu, Oulu 90014, Finland.
E-mail Addresses:
tarja.polkki at nic.fi
Cited Reference Count:
68
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0962-1067
Web of Science Categories:
Nursing; NURSING, SCI; NURSING, SSCI
Research Areas:
Nursing
IDS Number:
AA6IS
Unique ID:
WOS:000331202600003
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Odell Mandy, 2009, JOURNAL OF ADVANCED NURSING, V65, P1992
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Title:
Transition and transformation: A bibliometric analysis of two scientific networks researching socio-technical change
Authors:
Chappin, EJL; Ligtvoet, A
Author Full Names:
Chappin, Emile J. L.; Ligtvoet, Andreas
Source:
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 30 715-723; 10.1016/j.rser.2013.11.013 FEB 2014
Language:
English
Document Type:
Review
Author Keywords:
Transition, Transformation, Bibliometrics, Citations, Scientific network, Sustainability
KeyWords Plus:
MARKET TRANSITION; SOCIAL-STRUCTURE; MANAGEMENT; INNOVATION; SUSTAINABILITY; DYNAMICS; POLITICS
Abstract:
Sustainability policy in the early 2000s is based on and therefore
influenced by scientific literature on 'transition'. The importance of
this link has inspired the authors to explore the structure of
cooperating authors and citation networks in the field. In order to
understand 'transition' literature, we compare it with an alternative
term for change, 'transformation', which is also used in the context of
socio-technical shifts towards sustainability. We expose the different
structures of these fields with an overview of keywords, key references,
key authors, and the coherence between references and authors.
By analysing co-author and citation networks, we find large differences
in these groups of documents. The transition literature is characterised
by a large network of directly and indirectly cooperating authors with
clear clusters; transformation literature contains smaller author
networks. Key transition authors are predominantly Dutch. They
repeatedly write together and cite each other's work. The transition
literature is tightly knit with high degrees of internal references and
a clearly distinguishable core. Transformation literature has fewer
connections between authors and articles. The connecting articles, each
with many global citations, form its basis.
This analysis can be used as a step to continue the debate on the role
of transition and transformation literature in sustainability and
renewable energy policy. The transformation literature teaches us that
older streams of thought are still relevant and may be used as 'glue'
for linking change with respect to sustainable energy to wider
developments. Rediscovering existing literature in new combinations may
lead to promising new views on sustainable energy. (C) 2013 The Authors.
Published by Elsevier Ltd. All rights reserved.
Addresses:
E-mail Addresses:
e.j.l.chappin at tudelft.nl
Funding Acknowledgement:
Next Generation Infrastructures Foundation; Energy Delta Gas Research program, project A1 - Understanding gas sector intra-market and inter-market interactions; Knowledge for Climate program, project INCAH - Infrastructure Climate Adaptation in Hotspots
Funding Text:
This work was supported by the Next Generation Infrastructures Foundation,<SUP>8</SUP> by the Energy Delta Gas Research program, project A1 - Understanding gas sector intra-market and inter-market interactions,<SUP>9</SUP> and by the Knowledge for Climate program, project INCAH - Infrastructure Climate Adaptation in Hotspots.<SUP>10</SUP>
Cited Reference Count:
61
Times Cited:
0
Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
ISSN:
1364-0321
Web of Science Categories:
Energy & Fuels; ENERGY & FUELS
Research Areas:
Energy & Fuels
IDS Number:
AA9OC
Unique ID:
WOS:000331421800055
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*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000331347300004
*Order Full Text [ ]
Title:
Impact factor-driven taxonomy: deterrent to Indian taxonomists?
Authors:
Shashank, PR; Meshram, NM
Author Full Names:
Shashank, P. R.; Meshram, Naresh M.
Source:
CURRENT SCIENCE, 106 (1):10-10; JAN 10 2014
Language:
English
Document Type:
Letter
Addresses:
[Shashank, P. R.; Meshram, Naresh M.] Indian Agr Res Inst, Div Entomol, Insect Biosystemat Lab, New Delhi 100012, India.
E-mail Addresses:
pathourshashank at yahoo.com
Cited Reference Count:
10
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES
Research Areas:
Science & Technology - Other Topics
IDS Number:
AA8LP
Unique ID:
WOS:000331347300004
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*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000331340800001
*Order Full Text [ ]
Title:
The impact factor, the h index and other bibliometric indicators
Authors:
Miro, O; Burbano, P
Author Full Names:
Miro, O.; Burbano, P.
Source:
ANALES DEL SISTEMA SANITARIO DE NAVARRA, 36 (3):371-377; SEP-DEC 2013
Language:
Spanish
Document Type:
Editorial Material
KeyWords Plus:
EMERGENCY-MEDICINE; RESEARCH OUTPUT; PRODUCTIVITY; PHYSICIANS; MISUSE; CARE
Addresses:
[Miro, O.] Hosp Clin Barcelona, Area Urgencias, Barcelona 08036, Spain.
[Burbano, P.] Secretaria Educ Super Ciencia Tecnol & Innovac SE, Quito, Ecuador.
E-mail Addresses:
omiro at clinic.cat
Cited Reference Count:
34
Times Cited:
0
Publisher:
GOBIERNO DE NAVARRA, NAVAS TOLOSA 21, PAMPLONA, 31002, SPAIN
ISSN:
1137-6627
Web of Science Categories:
Public, Environmental & Occupational Health; PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SCI; PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH, SSCI
Research Areas:
Public, Environmental & Occupational Health
IDS Number:
AA8JC
Unique ID:
WOS:000331340800001
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