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Interactions between individuals are inherently dependent upon trust, no matter if they occur in the real world or in cyber communities. Over the past years, proposals have been made to model trust relations computationally, either to assist users or for modeling purposes in multi-agent systems. These models rely implicitly on the social networks established by participating entities (be they autonomous...
In this paper we study the problem of network exchange in trust based social networks. Network exchange is of two types: Specialized Exchange and Generalized Exchange, this can be characterized in terms of reciprocity, triads, graph motifs across these networks. Given the lack of standard metrics for Generalized Exchange, we propose a metric to quantify generalized exchange. We observe that the phenomenon...
Induced by computing of more general networks, such as social networks, trust has been shown to have fundamental effects on the dynamics of evolution. Inspired this, we derive the dynamics governing the evolution of such a system, P2P network, starting from fundamental individual level of trust. We show that how computing is modeled based on game theory and how the ideas of evolutionary theory apply...
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