Papers of interest to SIG-Metrics readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Fri Jun 1 15:39:43 EDT 2012
TITLE: Shaping the landscape of research in information systems
from the perspective of editorial boards: A scientometric study of 77
leading journals (Article, English)
AUTHOR: Cabanac, G
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (5). MAY 2012. p.977-996
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): MERTON RK rauth;
JOURNALS item_title; SCIENTOMETRIC* item_title;
GARFIELD E SCIENCE 122:108 1955
KEYWORDS: scientometrics; scholarly communication; gatekeepers
KEYWORDS+: SCIENCE JOURNALS; IMPACT FACTOR; GATEKEEPERS;
INFORMETRICS; INDICATOR
ABSTRACT: Characteristics of the Journal of the American Society
for Information Science and Technology and 76 other journals listed in the Information Systems category of the Journal Citation ReportsScience edition 2009 were analyzed. Besides reporting usual bibliographic indicators, we investigated the human cornerstone of any peer-reviewed
journal: its editorial board. Demographic data about the 2,846 gatekeepers serving in information systems (IS) editorial boards were collected. We discuss various scientometric indicators supported by descriptive statistics. Our findings reflect the great variety of IS journals in terms of research output, author communities, editorial boards, and gatekeeper demographics (e.g., diversity in gender and location), seniority, authority, and degree of involvement in editorial boards. We believe that these results may help the general public and scholars (e.g., readers, authors, journal gatekeepers, policy makers) to revise and increase their knowledge of scholarly communication in the IS field. The EB_IS_2009 dataset supporting this scientometric study is released as online supplementary material to this article to foster further research on editorial boards.
AUTHOR ADDRESS: G Cabanac, Univ Toulouse, Dept Comp Sci, CNRS, IRIT,UMR
5505, 118 Route Narbonne, F-31062 Toulouse 9, France
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TITLE: A bibliometric chronicling of library and information
science's first hundred years (Article, English)
AUTHOR: Lariviere, V; Sugimoto, CR; Cronin, B
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (5). MAY 2012. p.997-1016
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): LIPETZ BA rauth; MERTON RK rauth; PRICE DJD rauth;
BIBLIOMETR* item_title
KEYWORDS: information science history; bibliometrics
KEYWORDS+: CITATION ANALYSIS; JOURNAL ARTICLES; LIS JOURNALS;
RESEARCH PRODUCTIVITY; CO-AUTHORSHIP; IMPACT;
INTERDISCIPLINARITY; COLLABORATION; FACULTY; LIBRARIANSHIP
ABSTRACT: This paper presents a condensed history of Library and
Information Science (LIS) over the course of more than a century using a variety of bibliometric measures. It examines in detail the variable rate of knowledge production in the field, shifts in subject coverage, the dominance of particular publication genres at different times, prevailing modes of production, interactions with other disciplines, and, more generally, observes how the field has evolved. It shows that, despite a striking growth in the number of journals, papers, and contributing authors, a decrease was observed in the field's market-share of all social science and humanities research. Collaborative authorship is now the norm, a pattern seen across the social sciences. The idea of boundary crossing was also examined: in 2010, nearly 60% of authors who published in LIS also published in another discipline. This high degree of permeability in LIS was also demonstrated through reference and citation
practices: LIS scholars now cite and receive citations from other fields more than from LIS itself. Two major structural shifts are revealed in the data: in 1960, LIS changed from a professional field focused on librarianship to an academic field focused on information and use; and in 1990, LIS began to receive a growing number of citations from outside the field, notably from Computer Science and Management, and saw a dramatic increase in the number of authors contributing to the literature of the field.
AUTHOR ADDRESS: V Lariviere, Univ Montreal, Ecole Bibliothecon & Sci
Informat, Montreal, PQ, Canada
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TITLE: Scientific subject categories of Web of Knowledge ranked
according to their multidimensional prestige of influential journals
(Article, English)
AUTHOR: Garcia, JA; Rodriguez-Sanchez, R; Fdez-Valdivia, J
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (5). MAY 2012. p.1017-1029
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
JOURNALS item_title;
GARFIELD E JAMA-J AM MED ASSOC 295:90 2006
KEYWORDS: scientometrics; informetrics; impact factor
KEYWORDS+: POVERTY; SCOPUS; IMPACT
ABSTRACT: A journal may be considered as having dimension-specific
prestige when its score, based on a given journal ranking model, exceeds a threshold value. But a journal has multidimensional prestige only if it is a prestigious journal with respect to a number of dimensionse.g., Institute for Scientific Information Impact Factor, immediacy index, eigenfactor score, and article influence score. The multidimensional prestige of influential journals takes into account the fact that several prestige indicators should be used for a distinct analysis of the impact of scholarly journals in a subject category. After having identified the multidimensionally influential journals, their prestige scores can be aggregated to produce a summary measure of multidimensional prestige for a subject category, which satisfies numerous properties. Using this measure of multidimensional prestige to rank subject categories, we have found the top scientific subject categories of Web of Knowledge as of 2010.
AUTHOR ADDRESS: JA Garcia, Univ Granada, Dept Ciencias Comp & IA, E-18071
Granada, Spain
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TITLE: Citation-based bootstrapping for large-scale author
disambiguation (Article, English)
AUTHOR: Levin, M; Krawczyk, S; Bethard, S; Jurafsky, D
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (5). MAY 2012. p.1030-1047
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): SMALL H J AM SOC INFORM SCI 24:265 1973;
WHITE HD J AM SOC INFORM SCI 32:163 1981;
CITATION item_title; CITATION* item_title
KEYWORDS: machine aided indexing; automatic extracting;
disambiguation
KEYWORDS+: NAME DISAMBIGUATION; COCITATION; MODEL
ABSTRACT: We present a new, two-stage, self-supervised algorithm
for author disambiguation in large bibliographic databases. In the first bootstrap stage, a collection of high-precision features is used to bootstrap a training set with positive and negative examples of coreferring authors. A supervised feature-based classifier is then trained on the bootstrap clusters and used to cluster the authors in a larger unlabeled dataset. Our self-supervised approach shares the advantages of unsupervised approaches (no need for expensive hand labels) as well as supervised approaches (a rich set of features that can be discriminatively trained). The algorithm disambiguates 54,000,000 author instances in Thomson Reuters' Web of Knowledge with B3 F1 of.807. We analyze parameters and features, particularly those from citation networks, which have not been deeply investigated in author disambiguation. The most important citation feature is self-citation, which can be approximated without expensive extraction of the full network. For the supervised stage, the minor improvement due to other citation features (increasing F1 from.748 to.767) suggests they may not be worth the trouble of extracting from databases that don't already have them. A lean feature set without expensive abstract and title features performs 130 times faster with about equal F1.
AUTHOR ADDRESS: M Levin, Stanford Univ, Dept Comp Sci, 353 Serra Mall,
Stanford, CA 94305 USA
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TITLE: The Hirsch index of a shifted Lotka function and its
relation with the impact factor (Article, English)
AUTHOR: Egghe, L; Rousseau, R
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (5). MAY 2012. p.1048-1053
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
IMPACT FACTOR* item_title;
EGGHE L primaryauthor,author
KEYWORDS: bibliometrics
KEYWORDS+: H-INDEX; MODEL
ABSTRACT: Based on earlier results about the shifted Lotka
function, we prove an implicit functional relation between the Hirsch index (h-index) and the total number of sources (T). It is shown that the corresponding function, h(T), is concavely increasing. Next, we construct an implicit relation between the h-index and the impact factor IF (an average number of items per source). The corresponding function h(IF) is increasing and we show that if the parameter C in the numerator of the shifted Lotka function is high, then the relation between the h-index and the impact factor is almost linear.
AUTHOR ADDRESS: L Egghe, Univ Hasselt UHasselt, Campus Diepenbeek, B-3590
Diepenbeek, Belgium
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TITLE: Fuzziness and Overlapping Communities in Large-Scale
Networks (Article, English)
AUTHOR: Wang, QN; Fleury, E
SOURCE: JOURNAL OF UNIVERSAL COMPUTER SCIENCE 18 (4). 2012.
p.457-486 GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS
COMPUTER MEDIA-IICM, GRAZ
SEARCH TERM(S): KESSLER MM AM DOC 14:10 1963
KEYWORDS: fuzzy community detection; overlapping community
detection; community detection; modularity; large-scale
networks
ABSTRACT: Overlapping community detection is a popular topic in
complex networks. As compared to disjoint community structure, overlapping community structure is more suitable to describe networks at a macroscopic level. Overlaps shared by communities play an important role in combining different communities. In this paper, two methods are proposed to detect overlapping community structure. One is called clique optimization, and the other is named fuzzy detection. Clique optimization aims at detecting granular overlaps. The clique optimization method is a fine grain scale approach. Each granular overlap is a node connected to distinct communities and it is highly connected to each community. Fuzzy detection is at a coarser grain scale and aims at identifying modular overlaps. Modular overlaps represent groups of nodes that have high community membership degrees with several communities. A modular overlap is itself a possible cluster/sub-community. Experimental studies in synthetic networks and real networks show that both methods provide good performances in detecting overlapping nodes but in different views. In addition, a new extension of modularity is introduced for measuring the quality of overlapping community structure.
AUTHOR ADDRESS: QN Wang, Univ Lyon, D NET INRIA, LIP ENS LYON, 46 Allee
Italie, F-69364 Lyon, France
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TITLE: A positive theory of network connectivity (Article,
English)
AUTHOR: Levinson, D; Huang, A
SOURCE: ENVIRONMENT AND PLANNING B-PLANNING & DESIGN 39 (2).
2012. p.308-325 PION LTD, LONDON
SEARCH TERM(S): PRICE DJD rauth
KEYWORDS: road network; network growth; network structure; treeness;
circuitness; topology
KEYWORDS+: TRANSPORTATION NETWORKS; SPACE-TIME; LAND-USE; INDIVIDUAL
ACCESSIBILITY; INFORMATION-SYSTEMS; TRAIL SYSTEMS; CITIES;
EMERGENCE; EVOLUTION; HIERARCHY
ABSTRACT: In this paper we develop a positive theory of network
connectivity, seeking to provide the microfoundations of alternative network topologies as the result of self-interested actors. By building roads, landowners hope to increase their parcels' accessibility and economic value. A simulation model is performed on a grid-like land-use layer with a downtown in the center. The degree to which the networks are tree-like is evaluated. This research posits that road networks experience an evolutionary process where a tree-like structure first emerges around the centered parcel before the network pushes outward to the periphery. Road network topology becomes increasingly connected as the accessibility value of reaching other parcels increases. The results demonstrate that, even without a centralized authority, road networks can display the property of self-organization and evolution, and that, in the absence of intervention, the degree to which a network structure is tree- like or web-like results from the underlying economies.
AUTHOR ADDRESS: D Levinson, Univ Minnesota, Dept Civil Engn, 500 Pillsbury
Dr SE, Minneapolis, MN 55455 USA
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TITLE: Identifying Trustworthy Experts: How Do Policymakers Find
and Assess Public Health Researchers Worth Consulting or Collaborating
With? (Article, English)
AUTHOR: Haynes, AS; Derrick, GE; Redman, S; Hall, WD; Gillespie,
JA; Chapman, S; Sturk, H
SOURCE: PLOS ONE 7 (3). MAR 5 2012. p.NIL_882-NIL_889 PUBLIC
LIBRARY SCIENCE, SAN FRANCISCO
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS+: ORGANIZATIONAL TRUST; INTEGRATIVE MODEL; KNOWLEDGE;
EXCHANGE; FUTURE
ABSTRACT: This paper reports data from semi-structured interviews
on how 26 Australian civil servants, ministers and ministerial advisors find and evaluate researchers with whom they wish to consult or collaborate. Policymakers valued researchers who had credibility across the three attributes seen as contributing to trustworthiness: competence (an exemplary academic reputation complemented by pragmatism, understanding of government processes, and effective collaboration and communication skills); integrity (independence, "authenticity", and faithful reporting of research); and benevolence (commitment to the policy reform agenda). The emphases given to these assessment criteria appeared to be shaped in part by policymakers' roles and the type and phase of policy development in which they were engaged. Policymakers are encouraged to reassess their methods for engaging researchers and to maximise information flow and support in these relationships. Researchers who wish to influence policy are advised to develop relationships across the policy community, but also to engage in other complementary strategies for promoting research-informed policy, including the strategic use of mass media.
AUTHOR ADDRESS: AS Haynes, Univ Sydney, Sydney Sch Publ Hlth, Camperdown,
NSW, Australia
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