Assessing group interaction with social language network analysis.
- UT Austin
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.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1003931
- Report Number(s):
- SAND2010-2525C; TRN: US201103%%218
- Resource Relation:
- Conference: Proposed for presentation at the 2010 International Conference on Social Computing, Behavioral Modeling, & Prediction (SBP10) held March 29, 2010-April 1, 2011 in Bethesda, MD.
- Country of Publication:
- United States
- Language:
- English
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