Wallace, ML; Gingras, Y; Duhon, R A New Approach for Detecting Scientific Specialties From Raw Cocitation Networks JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 60 (2): 240-246 FEB 2009
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Tue Mar 10 12:04:51 EDT 2009
E-mail Address: mattyliam at gmail.com; gingras.yves at uqam.ca;
rduhon at indiana.edu
Author(s): Wallace, ML (Wallace, Matthew L.); Gingras, Y (Gingras, Yves);
Duhon, R (Duhon, Russell)
Title: A New Approach for Detecting Scientific Specialties From Raw
Cocitation Networks
Source: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND
TECHNOLOGY, 60 (2): 240-246 FEB 2009
Language: English
Document Type: Article
KeyWords Plus: AUTHOR COCITATION; COMMUNITY STRUCTURE; PEARSONS-R;
INTELLECTUAL STRUCTURE; INFORMATION-THEORY; COMPLEX NETWORKS; SCIENCE;
DOCUMENTS; ALGORITHM; MATRICES
Abstract: We use a technique recently developed by V. Blondel, J.L.
Guillaume, R. Lambiotte, and E. Lefebvre (2008) to detect scientific
specialties from author cocitation networks. This algorithm has distinct
advantages over most previous methods used to obtain cocitation "clusters"
since it avoids the use of similarity measures, relies entirely on the
topology of the weighted network, and can be applied to relatively large
networks. Most importantly, it requires no subjective interpretation of
the cocitation data or of the communities found. Using two examples, we
show that the resulting specialties are the smallest coherent "groups" of
researchers (within a hierarchy of cluster sizes) and can thus be
identified unambiguously. Furthermore, we confirm that these communities
are indeed representative of what we know about the structure of a given
scientific discipline and that as specialties, they can be accurately
characterized by a few keywords (from the publication titles). We argue
that this robust and efficient algorithm is particularly well-suited to
cocitation networks and that the results generated can be of great use to
researchers studying various facets of the structure and evolution of
science.
Addresses: [Wallace, Matthew L.; Gingras, Yves] Univ Quebec, CIRST, OST,
Montreal, PQ H3C 3P8, Canada; [Duhon, Russell] Indiana Univ, Sch Lib &
Informat Sci, Bloomington, IN 47405 USA
Reprint Address: Wallace, ML, Univ Quebec, CIRST, OST, Case Postale 8888,
Montreal, PQ H3C 3P8, Canada.
E-mail Address: mattyliam at gmail.com; gingras.yves at uqam.ca;
rduhon at indiana.edu
Cited Reference Count: 40
Times Cited: 0
Publisher: JOHN WILEY & SONS INC
Publisher Address: 111 RIVER ST, HOBOKEN, NJ 07030 USA
ISSN: 1532-2882
DOI: 10.1002/asi.20987
29-char Source Abbrev.: J AM SOC INF SCI TECHNOL
ISO Source Abbrev.: J. Am. Soc. Inf. Sci. Technol.
Source Item Page Count: 7
Subject Category: Computer Science, Information Systems; Information
Science & Library Science
ISI Document Delivery No.: 404FK
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