Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/7069
Title: | Social network analysis: a powerful strategy, also for the information sciences | Authors: | Otte, E. ROUSSEAU, Ronald |
Issue Date: | 2002 | Source: | Journal of information science, 28(6). p. 441-453 | Abstract: | Social network analysis (SNA) is not a formal theory in sociology but rather a strategy for investigating social structures. As it is an idea that can be applied in many fields, we study, in particular, its influence in the information sciences. Information scientists study publication, citation and co-citation networks, collaboration structures and other forms of social interaction networks. Moreover, the Internet represents a social network of an unprecedented scale. In all these studies social network analysis can successfully be applied. SNA is further related to recent theories concerning the free market economy, geography and transport networks. The growth of SNA is documented and a co-author network of SNA is drawn. Centrality measures of the SNA network are calculated. | Keywords: | INFRASTRUCTURE; PERCOLATION; MODEL | Document URI: | http://hdl.handle.net/1942/7069 | ISSN: | 0165-5515 | e-ISSN: | 1741-6485 | DOI: | 10.1177/016555150202800601 | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
Show full item record
SCOPUSTM
Citations
751
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
1,029
checked on Aug 31, 2024
Page view(s)
88
checked on Jun 28, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.