Trust in Agent Societies
نویسندگان
چکیده
The problem of identifying influencers in an online social network (OSN) has received a lot of attention recently. However, the influence a user has on an OSN depends a lot on how active they are, besides their reputation, or the quality of information they are capable of providing. This can be misleading: a common observation about many OSNs is that the most influential users there are not well-known in the real world. In contrast, we investigate the problem of automatically identifying reputed users on an OSN, independent of their level of activity. The investigation is based on a social/relational capital generation based model of user behavior on OSNs, where users pay each other in social capital to make connections. We formalize this idea using a tournamentbased model known as fair bets. The model is tested on simulated OSN data, where it proves to be more accurate than baseline approaches for reputation aggregation in OSNs, such as PageRank.
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