Publications in Scientific Journals:

A. Bohn, I. Feinerer, K. Hornik, P. Mair:
"Content-based social network analysis of mailing lists";
R Journal, 3 (2011), 1; 11 - 18.

English abstract:
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.

Created from the Publication Database of the Vienna University of Technology.