In online social networks, reputations of users (nodes) are emerged and propagated through
interactions among the users. These interactions include intrinsic and extrinsic consensus …

We model the emergence and propagation of reputations in social networks with a novel
distributed algorithm. In social networks, reputations of agents (nodes) are emerged and …

This thesis focuses on a quantification of reputation and presents models which compute
reputation within networked environments. Reputation manifests past behaviors of users …

Economic transactions often rely on trust. For instance, sellers usually know more than
buyers about items or services offered and could misrepresent them. Without trust, mutually …

Social media has become a popular platform that connects people who share information, in
particular personal opinions. Through such a fast information exchange mechanism …

Online Social Networks (OSNs) have known a dramatic increase and they have been used
as means for a rich variety of activities. In fact, within OSNs, usersare able to discover …

The volume of information users upload through online social networks (OSNs) is
continuously growing. Our focus in this research is in evaluating models to quantify the …

Reputation detection in traditional distributed systems (eg, electronic commerce systems
and peer‐to‐peer systems) relies heavily on the factor of interaction reputation, which can …

Social media and social networks are pervasive in the daily use as well as in a number of
applications. Social media and social networks are also intertwined, as the social medial …

We analyze an agent-based model to estimate how the costs and benefits of users in an
online social network (OSN) impact the robustness of the OSN. Benefits are measured in …