Using Stylistic Features for Social Power Modeling

Authors

  • Rachel Cotterill University of Sheffield, UK

DOI:

https://doi.org/10.13053/cys-17-2-1526

Keywords:

Social network analysis, social power modeling, stylistics, text mining.

Abstract

Social Network Analysis traditionally examines the graph of a communications network to identify key individuals based on the pattern of their interactions, but there is a limit to the level of detail which can be inferred from metadata alone. Message content is a richer source of data, and can provide an indication of the relationship between a pair of communicants. An individual’s language use will vary depending on their relationship to the addressee, and this paper investigates a set of stylistic features which may be used to predict the nature of a relationship within an organizational hierarchy. Experiments are conducted on the Enron corpus for the sake of comparison with earlier results, and demonstrate successful classification of upspeak vs. downspeak using a small feature set.

Author Biography

Rachel Cotterill, University of Sheffield, UK

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Published

2013-06-29

Issue

Vol. 17 No. 2 (2013): 17(2) April-June 2013

Section

Articles

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