Bohn, Angela and Feinerer, Ingo and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 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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RJournal_2011-1_Bohn~et~al.pdf Download (253kB) |
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.
Item Type: | Article |
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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: | 10 Aug 2020 22:00 |
Related URLs: | |
FIDES Link: | https://bach.wu.ac.at/d/research/results/54946/ |
URI: | https://epub.wu.ac.at/id/eprint/5435 |
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