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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