Email as spectroscopy: automated discovery of community structure within organizations
Communities and technologies
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
A model of a trust-based recommendation system on a social network
Autonomous Agents and Multi-Agent Systems
Cooperation in Evolving Social Networks
Management Science
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Axiomatic and behavioural trust
TRUST'10 Proceedings of the 3rd international conference on Trust and trustworthy computing
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We present a model of social network that shows a dynamic emergent behavior simulating actors that exchange knowledge based on their preferences, expertise and friendship relations. The network presents a stochastic interaction behavior that tends to create communities, driven by the assortative mixing and triadic closures. Our first research goal is to investigate the features driving the formation of communities and their characteristics under different configurations of the network. In particular we focus on trust which we analyze qualitatively as dependent on the frequency and pattern of interactions. To this aim, we ran simulations of different network configurations and analyzed the resulting statistics. The second research goal is to study the effects of node deception and cooperation on the social network behavior; our primary metric is trust and we evaluated how, under specific conditions, it is possible to manipulate trust in some non trivial ways.