AAAI

Association for the Advancement of Artificial Intelligence

Home > Proceedings / Proceedings of the International AAAI Conference on Web and Social Media, 5

Towards Discovery of Influence and Personality Traits through Social Link Prediction

Authors

Thin Nguyen,Dinh Phung,Brett Adams,Svetha Venkatesh

Curtin University of Technology,Curtin University of Technology,Curtin University of Technology,Curtin University of Technology


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 5

Volume

Issue:

Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media

Track:

Poster Papers

Downloads:

Download PDF

Abstract:

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.

DOI:

10.1609/icwsm.v5i1.14151


ICWSM

Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media