An Approach to Incorporate Texts into a Social Network Analysis of Communication Graphs

Bohn, Angela and Feinerer, Ingo and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 and Mair, Patrick (2009) An Approach to Incorporate Texts into a Social Network Analysis of Communication Graphs. Research Report Series / Department of Statistics and Mathematics, 96. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.

[img]
Preview
PDF
document.pdf

Download (590kB)

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.

Item Type: Paper
Keywords: social network analysis / text mining / R-help / R-devel / mailing list
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 05 Dec 2009 11:54
Last Modified: 24 Oct 2019 13:41
URI: https://epub.wu.ac.at/id/eprint/1654

Actions

View Item View Item

Downloads

Downloads per month over past year

View more statistics