Content-based SNA of mailing lists

Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

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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.
OriginalspracheEnglisch
Seiten (von - bis)11 - 18
FachzeitschriftThe R Journal
Jahrgang3
Ausgabenummer1
PublikationsstatusVeröffentlicht - 1 Juni 2011

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