2006Unpublished venueRequires access

Automatic Community Discovery in Peer-to-Peer Systems

Weidong Gu, Wei Wei

Open publisher page 7 citations

Abstract

In many applications of peer-to-peer networks, such as information sharing and media streaming, a peer is much more likely to communicate with other peers with similar interests. Therefore, to optimize the structure of these systems, a good strategy is to form communities composed of peers with similar interests. In this paper, we propose a method to automatically identify a user's interests, and a distributed algorithm to discover communities based on the interests identified. We provide empirical results to demonstrate the correctness and efficiency of our algorithm

About this research paper

What this paper is about

In many applications of peer-to-peer networks, such as information sharing and media streaming, a peer is much more likely to communicate with other peers with similar interests. Therefore, to optimize the structure of these systems, a good strategy is to form communities composed of peers with similar interests. In this paper, we propose a method to automatically identify a user's interests, and a distributed algorithm to discover communities based on the interests identified. We provide empirical results to demonstrate the correctness and efficiency of our algorithm

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In many applications of peer-to-peer networks, such as information sharing and media streaming, a peer is much more likely to communicate with other peers with similar interests. Therefore, to optimize the structure of these systems, a good strategy is to form communities composed of peers with similar interests. In this paper, we propose a method to automatically identify a user's interests, and a distributed algorithm to discover communities based on the interests identified. We provide empirical results to demonstrate the correctness and efficiency of our algorithm

Key concepts: Computer science, Correctness, Peer-to-peer, Information sharing, Empirical research, World Wide Web, Distributed computing, Theoretical computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Automatic Community Discovery in Peer-to-Peer Systems — Research Paper | ScholarLens