The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...

We introduce a framework that can model different kinds of epistemic gossip problems. We also formalize some parameters that distinguish the different types of gossip problem. Finally, we present a few results that show the effect of the parameters.

Gossip protocols have proved to be a viable solution to setup and manage large-scale P2P services or applications in a fully decentralised scenario. The gossip or epidemic communication scheme is heavily based on stochastic behaviors and it is the fundamental idea behind many large-scale P2P protocols. It provides many remarkable features, such as scalability, robustness to failures, emergent l...

Gr oup-based reliable multicast is an important building block for distributed applications. For large systems, however, traditional appr oaches do not scale well due to centr alize drecovery mechanisms and excessive message overhead. In this paper, we present a reliable probabilistic multicast, rpbcast, that is a hybrid of the centr alize dand gossip-b ased approaches. In p articular,rpbcast e...

In this project we look at the effects of gossip spread on social network structure. We define gossip as information passed between two individuals A and B about an individual C who is not present, which has the potential to affect the strengths of all three relationships A-B, B-C, and A-C. This work is novel in two respects: first, there is no theoretical work on how network structure changes ...

A half century of gossip research from multiple disciplines is reviewed. Discussed are definitions of the construct; social, evolutionary, and personal functions of the practice; and data collection methods. Though people engage in the practice frequently, there has been relatively little psychological research on gossip. The layperson’s understanding of the term is included in, but insufficien...

In recent years, gossip-based algorithms have gained prominence as a methodology for designing robust and scalable communication schemes in large distributed systems. The premise underlying distributed gossip is very simple: in each time step, each node in the system selects some other node as a communication partner — generally by a simple randomized rule — and exchanges information with ; ove...