Overlaying communities and topics: an analysis on publication networks

Erjia Yan (), Ying Ding () and Elin K. Jacob ()
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Erjia Yan: Indiana University
Ying Ding: Indiana University
Elin K. Jacob: Indiana University

Scientometrics, 2012, vol. 90, issue 2, No 11, 499-513

Abstract: Abstract Two layers of enriched information are constructed for communities: a paper-to-paper network based on shared author relations and a paper-to-paper network based on shared word relations. k-means and VOSviewer, a modularity-based clustering technique, are used to identify publication clusters in the two networks. Results show that a few research topics such as webometrics, bibliometric laws, and language processing, form their own research community; while other research topics contain different research communities, which may be caused by physical distance.

Keywords: Community; Topic; Detection; Scholarly networks (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s11192-011-0531-6

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