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back | new search | print Bohn, Angela; Feinerer, Ingo; Hornik, Kurt; Mair, Patrick: An Approach to Incorporate Texts into a Social Network Analysis of Communication Graphs Research Report Series / Department of Statistics and Mathematics, Nr. 96, December 2009 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2009 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_f9f Download document 11 pages/588 kB © Copyright notice  Abstract: Social network analysis (SNA) provides tools to examine relationships between people. Text mining (TM) allows capturing the text they produce in Web 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" (CB-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. (author´s abstract)  Keywords: social network analysis / text mining / R-help / R-devel / mailing list © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:28:14 2010