Issue No. 06 - Nov.-Dec. (2015 vol. 19)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2015.93
Santa Agreste , University of Messina, Italy
Pasquale De Meo , University of Messina, Italy
Emilio Ferrara , University of Southern California
Sebastiano Piccolo , University of Messina, Italy
Alessandro Provetti , University of Messina, Italy
Thanks to the availability of user profiles and records of activity, online social network analysis can discover complex individual and social behavior patterns. The emergence of trust between users of online services is one of the most important phenomena, but it's also hard to detect in records of users' interactions, and even harder to replicate by abstract, generative models. Here, the authors investigate the emergence of "trusted" users (over time) by studying the evolution of topological and centrality measures of the network of trust within the overall social network. To do so, large datasets of user activity are studied from Ciao and Epinions (two online platforms with an explicit notion of trust controlled by users), and Prosper (a micro-lending site where trust remains implicit). The implications of such findings are discussed, particularly regarding how to enable trust in online platforms and interaction, with implications for trust-based activities.
Social network services, Internet, Trust management, Complex networks, Media
S. Agreste, P. De Meo, E. Ferrara, S. Piccolo and A. Provetti, "Trust Networks: Topology, Dynamics, and Measurements," in IEEE Internet Computing, vol. 19, no. 6, pp. 26-35, 2015.