Paper of interest to SIGMETRICS listserv (3)

Eugene Garfield eugene.garfield at THOMSONREUTERS.COM
Sat Aug 3 18:24:04 EDT 2013


 
 
 
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000321059600001
*Order Full Text [ ]

Title:
Bibliographic coupling and network analysis *to* assess knowledge coalescence in a *research* center environment

Authors:
Youtie, J; Kay, L; Melkers, J

Author Full Names:
Youtie, Jan; Kay, Luciano; Melkers, Julia

Source:
RESEARCH EVALUATION, 22 (3):145-156; 10.1093/reseval/rvt002 SEP 2013 

Language:
English

Document Type:
Article

Author Keywords:
bibliographic coupling, science centers, network analysis, scientific collaboration

KeyWords Plus:
RESEARCH COLLABORATION; UNIVERSITY-RESEARCH; SELF-ORGANIZATION; CITATION; SCIENCE; INTERDISCIPLINARITY; COCITATION; JOURNALS; FACULTY; IMPACT

Abstract: 
Science is increasingly organized in large-scale science centers.
Expectations are that center-based research should yield qualitatively
different research than single-investigator-produced research, but
demonstrating the particular effects of a center is challenging. The
notion of 'centerness' is that science centers can yield findings that
reflect conceptual collisions across disciplinary or geographic
boundaries between a center's scientific members. Collaborative research
commonly is assessed using co-authorships of scientific publications.
Co-authorship measures can be conveniently and unobtrusively
operationalized, yet they can yield indicators (especially for a small
center) showing little change in collaboration in a center-context,
while richer findings of collaboration are evidenced in observing other
aspects of center members' behavior. This article puts forth the use of
social network analysis and bibliographic coupling as measures of
'centerness' and presents their characteristics in the context of an
National Science Foundation (NSF) science center. Bibliographic coupling
is characterized as a measure of centerness over the time period of the
establishment of an NSF-funded science center. We also examine changes
in bibliographic coupling indicators alongside changes in co-authorship
networks and a social network survey of center participants.
Bibliographic coupling is shown to make a distinctive contribution to
measurement of centerness, demonstrating increasing coupling from the
pre-center and since-center periods. This increase in centerness as
represented in bibliographic coupling does not dramatically change when
self-citations are removed. Overall, results show this to be a useful
and consistent measure of centerness and knowledge coalescence within
the research center environment.

Addresses:
[Youtie, Jan] Georgia Inst Technol, Enterprise Innovat Inst, Atlanta, GA 30332 USA. 
[Youtie, Jan; Kay, Luciano; Melkers, Julia] Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA. 

E-mail Addresses:
jan.youtie at innovate.gatech.edu

Cited Reference Count:
45

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0958-2029

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
173DZ

Unique ID: 
WOS:000321059600001

Cited References: 
Stirling Andy, 2007, JOURNAL OF THE ROYAL SOCIETY INTERFACE, V4, P707
Rogers J., 2012, Innovative Methods for Innovation Management and Policy Conference, Beijing, China, 
Bozeman B, 2004, RESEARCH POLICY, V33, P599
Rafols Ismael, 2007, SCIENTOMETRICS, V70, P633
Rogers JD, 2001, SCIENCE TECHNOLOGY & HUMAN VALUES, V26, P23
Penuel William R., 2006, AMERICAN JOURNAL OF EVALUATION, V27, P437
GARFIELD E, 1972, SCIENCE, V178, P471
Leydesdorff L, 1998, SCIENTOMETRICS, V43, P5
Lin N, 1999, ANNUAL REVIEW OF SOCIOLOGY, V25, P467
Boardman B., 2010, Journal of Technology Transfer, V35, P445
Roessner David, 2010, JOURNAL OF TECHNOLOGY TRANSFER, V35, P475
Rogers J., 2012, White paper, 
Coberly Beth M., 2010, JOURNAL OF TECHNOLOGY TRANSFER, V35, P547
WEINBERG BH, 1974, INFORMATION STORAGE AND RETRIEVAL, V10, P189
Wagner Caroline S., 2011, JOURNAL OF INFORMETRICS, V5, P14
National Academies, 2005, Facilitating Interdisciplinary Research, 
SANDS RG, 1991, JOURNAL OF HIGHER EDUCATION, V62, P174
Wasserman S., 2008, Social Network Analysis: Methods and Applications, 
Leydesdorff Loet, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1303
Merton R. K., 1973, The Sociology of Science, 
GEIGER RL, 1990, JOURNAL OF HIGHER EDUCATION, V61, P1
Youtie Jan, 2006, TECHNOVATION, V26, P1055
Porter Alan L., 2007, SCIENTOMETRICS, V72, P117
Flake GW, 2002, COMPUTER, V35, P66
Narin F, 1996, SCIENTOMETRICS, V36, P293
Lee S, 2005, SOCIAL STUDIES OF SCIENCE, V35, P673
Katz JS, 1997, RESEARCH POLICY, V26, P1
Bozeman B, 2002, RESEARCH POLICY, V31, P769
Burt RS, 2004, AMERICAN JOURNAL OF SOCIOLOGY, V110, P349
Corley Elizabeth A., 2006, RESEARCH POLICY, V35, P975
GRAY D, 1986, EVALUATION REVIEW, V10, P776
Bozeman B, 2001, INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, V22, P716
Bourdieu P, 1986, The Handbook of Theory and Research for the Sociology of Education, P241
Durland M. M., 2006, Social Network Analysis in Progrm Evaluation, 
Bozeman Barry, 2007, ADMINISTRATION & SOCIETY, V39, P719
Garfield E., 2001, From Bibliographic Coupling to Co-Citation Analysis via Algorithmic Historio-Bibliography, A Citationist's Tribute to Belver C. Griffith, 
Nahapiet J, 1998, ACADEMY OF MANAGEMENT REVIEW, V23, P242
BICHTELER J, 1980, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V31, P278
KESSLER MM, 1963, AMERICAN DOCUMENTATION, V14, P10
Glanzel W, 1996, SCIENTOMETRICS, V37, P195
Melin G, 2000, RESEARCH POLICY, V29, P31
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Bornmann Luti, 2008, JOURNAL OF DOCUMENTATION, V64, P45
Murray F, 2004, RESEARCH POLICY, V33, P643
Lin N., 2001, Social Capital: A Theory of Social Structure and Action,
 =======================================================================

 
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000320472100139
*Order Full Text [ ]
This paper is not about journal impact factors. The term " impact factor "is now used in a variety of disciplines. The word  "impact" seems to fir a variety of situations where the meaning intended is akin to "weight" or "influence". EG
Title:
A New Quantitative Model for Web Service Security

Authors:
Banaei, O; Khorsandi, S

Author Full Names:
Banaei, Omid; Khorsandi, Siavash

Editor(s):
Yang Y

Source:
PROCEEDINGS OF 2012 IEEE 14TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, 749-755; 2012 

Language:
English

Document Type:
Proceedings Paper

Conference Title:
14th IEEE International Conference on Communication Technology (ICCT)

Conference Date:
NOV 09-11, 2012

Conference Location:
Chengdu, PEOPLES R CHINA

Conference Sponsors:
IEEE, IEEE Beijing Sect, Chinese Inst Elect, China Inst Commun, Chinese Assoc Artificial Intelligence, Beijing Univ Posts & Telecommunicat, Natl Key Lab Sci & Technol Informat Syst Secur, Shandong Univ, Univ Elect Sci & Technol China, Tsinghua Univ, Kunming Univ Sci & Technol, Chengdu Univ Informat Technol, Shanghai Jiao Tong Univ

Author Keywords:
component, Security, Web Service, SOA, Risk Analysis

Abstract: 
Security is one of important QoS properties of web services that need to
be quantified. Quantifying Security can help both in selecting among
published web services and also in assessing security weaknesses of
services by service providers. In this paper we propose a three level
hierarchical architecture for web service security. In this architecture
we consider all of important aspects of security that they are:
authentication, integrity, authorization, confidentiality, availability
and non-repudiation. For each aspect is considered the most important
web service threats. Furthermore we consider likelihood and *impact
factor* for each threat. Then we compute weight of each impact with
using AHP and finally total security index is computed with weighted
averaging.

Addresses:
[Banaei, Omid; Khorsandi, Siavash] Amirkabir Univ Technol, Tehran Polytech, Comp Engn & Informat Technol Dept, Tehran, Iran. 

E-mail Addresses:
omid.banaei at aut.ac.ir; khorsandi at aut.ac.ir

Cited Reference Count:
10

Times Cited:
0

Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

ISBN:
978-1-4673-2101-3

Web of Science Categories:
Engineering, Electrical & Electronic; Telecommunications

Research Areas:
Engineering; Telecommunications

IDS Number:
BFM15

Unique ID: 
WOS:000320472100139

Cited References: 
Houmb S. H., 2005, Proc. of ICEECS, 
Ferris C., 2004, W3C note, 
Ji X., 2010, 2010 IEEE Second International Conference on Social Computing (SocialCom), V1026-1031, 
Ahmed M. S., 2008, the 27th Conference on Computer Communications, P1957
International Organization for Standardization (ISO/IEC), 2004, Common Criteria for Information Technology Security Evaluation, 
Singhal A., 2007, NIST Special Publication, V800, P4
Bishop M. A., 2002, The art and science of computer security, 
Saaty T.L., 2005, Encyclopedia of Biostatistics, 
Youxiang D., 2011, Journal of Next Generation Information Technology, V2, 
Yautsiukhin A., 2008, 13th Nordic Workshop on Secure IT Systems, Copenhagen, Denmark, V26, 

 =======================================================================
   
    



More information about the SIGMETRICS mailing list