Assessing group interaction with social language network analysis

Authors:
Andrew J. Scholand;Yla R. Tausczik;James W. Pennebaker
Affiliations:
Sandia National Laboratories, Albuquerque, NM;Department of Psychology, University of Texas, Austin, TX;Department of Psychology, University of Texas, Austin, TX
Venue:
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Year:
2010

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Abstract

In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.