Towards discovery of influence and personality traits through social link prediction
Nguyen, Thin, Phung, Dinh, Adams, Brett and Venkatesh, Svetha 2011, Towards discovery of influence and personality traits through social link prediction, in ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, AAAI Press, Menlo Park, Calif., pp. 566-569.
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Title
Towards discovery of influence and personality traits through social link prediction
Estimation of a person’s influence and personality traits from social media data has many applications. We use social linkage criteria, such as number of followers and friends, as proxies to form corpora, from popular blogging site Livejournal, for examining two two-class classification problems: influential vs. non-influential, and extraversion vs. introversion. Classification is performed using automatically-derived psycholinguistic and mood-based features of a user’s textual messages. We experiment with three sub-corpora of 10000 users each, and present the most effective predictors for each category. The best classification result, at 80%, is achieved using psycholinguistic features; e.g., influentials are found to use more complex language, than non-influentials, and use more leisure-related terms.
Language
eng
Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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