RT Journal Article
JF IEEE Internet Computing
YR 2015
VO 19
IS 6
SP 26
TI Trust Networks: Topology, Dynamics, and Measurements
A1 Santa Agreste,
A1 Pasquale De Meo,
A1 Emilio Ferrara,
A1 Sebastiano Piccolo,
A1 Alessandro Provetti,
K1 Social network services
K1 Internet
K1 Trust management
K1 Complex networks
K1 Media
K1 social media
K1 Internet/Web technologies
K1 trust networks
K1 online social network analysis
AB 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.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1089-7801
LA English
DO 10.1109/MIC.2015.93
LK http://doi.ieeecomputersociety.org/10.1109/MIC.2015.93