Love all, trust a few: link prediction for trust and psycho-social factors in MMOs

Authors:
Muhammad Aurangzeb Ahmad;Zoheb Borbora;Jaideep Srivastava;Noshir Contractor
Affiliations:
Department of Computer Science, University of Minnesota, Minneapolis, MN;Department of Computer Science, University of Minnesota, Minneapolis, MN;Department of Computer Science, University of Minnesota, Minneapolis, MN;School of Communication, Northwestern University, Evanston, IL
Venue:
SBP'12 Proceedings of the 5th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Year:
2012

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Abstract

Massively Multiplayer Online Games (MMOGs) where millions of people can interact with one another have been described as mirrors of human societies and offer excellent venues to analyze human behavior at both the psychological as well as the social level. Within the context of predictive analysis (link prediction as a classification task) in MMOGs, the connection between psycho-sociological theories of communication networks. A mapping of how various elements of trust and other social interactions (mentoring, adversarial relationship, trade) relate to prediction tasks is also established. Results from classification experiments indicate that social environments affect prediction tasks in cooperative vs. adversarial environments in MMOGs and the implications of these results for generalizability of link prediction algorithms is also analyzed.