Department of Computer EngineeringDepartment of Mathematics2024-11-0920089789-7551-8295-7N/A2-s2.0-58149131822N/Ahttps://hdl.handle.net/20.500.14288/10219We examine spreading of epidemics for an anti-entropy algorithm in networks with various P2P (peer-to-peer) overlay topologies. Neighborhood knowledge among peers and information exchange based on proximity are considered. Our analytical model for SI (Susceptible-Infected) epidemics involves equations for calculating the infection probability of each peer in consecutive epidemic rounds as a function of the topology. Using numerical evaluations, we study the effect of graph properties on dissemination as an aspect of real world P2P overlaysComputer engineeringAnalytical model for topology dependence in peer-to-peer anti-entropy spreadingConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-58149131822andpartnerID=40andmd5=2809ec1d069c86f48aa49fe662cb29f4N/A6417