Epidemic Information Diffusion: A Simple Solution to Support Community-based Recommendations in P2P Overlays

TL;DR

This paper presents a simple epidemic-based architecture for efficient community-based information diffusion in P2P overlay networks, enabling dynamic user grouping and effective information spread.

Contribution

It introduces a novel, straightforward epidemic protocol architecture tailored for community detection and information dissemination in P2P overlays.

Findings

Effective community grouping achieved

Enhanced information diffusion efficiency

Scalable to large P2P networks

Abstract

Epidemic protocols proved to be very efficient solutions for supporting dynamic and complex information diffusion in highly dis- tributed computing infrastructures, like P2P environments. They are useful bricks for building and maintaining virtual network topologies, in the form of overlay networks as well as to support pervasive diffusion of information when it is injected into the network. This paper proposes a simple architecture exploiting the features of epidemic approaches to foster a collaborative percolation of information between computing nodes belonging to the network aimed at building a system that groups similar users and spread useful information among them.