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Content-Based Social Network Analysis of Mailing Lists

Bohn, Angela and Feinerer, Ingo and Hornik, Kurt and Mair, Patrick (2011) Content-Based Social Network Analysis of Mailing Lists. The R Journal, 3 (1). pp. 11-18. ISSN 2073-4859

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Social Network Analysis (SNA) provides tools to examine relationships between people. Text Mining (TM) allows capturing the text they produce inWeb 2.0 applications, for example, however it neglects their social structure. This paper applies an approach to combine the two methods named "content-based SNA". Using the R mailing lists, R-help and R-devel, we show how this combination can be used to describe people's interests and to find out if authors who have similar interests actually communicate. We find that the expected positive relationship between sharing interests and communicating gets stronger as the centrality scores of authors in the communication networks increase.

Item Type: Article
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics > Hornik
Version of the Document: Published
Depositing User: ePub Administrator
Date Deposited: 24 Feb 2017 13:03
Last Modified: 07 Jul 2018 20:10
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/54946/
URI: http://epub.wu.ac.at/id/eprint/5435


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