PROJECT TITLE :

Trust Networks: Topology, Dynamics, and Measurements

ABSTRACT:

Because of the availability of user profiles and records of activity, on-line social network analysis will discover advanced individual and social behavior patterns. The emergence of trust between users of online services is one amongst the foremost important phenomena, however it is also arduous to detect in records of users' interactions, and even more durable to replicate by abstract, generative models. Here, the authors investigate the emergence of "trusted" users (over time) by learning the evolution of topological and centrality measures of the network of trust among the general social network. To do therefore, giant datasets of user activity are studied from Ciao and Epinions (two on-line platforms with an specific notion of trust controlled by users), and Prosper (a micro-lending web site where trust remains implicit). The implications of such findings are mentioned, particularly regarding the way to enable trust in on-line platforms and interaction, with implications for trust-based mostly activities.


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