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A Concentric-Circle Model for Community
Mining
December 1, 2002
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Download Document

BibTex
Authors

Wen-Jun Zhou

Ji-Rong Wen

Wei-Ying Ma

Hong-Jiang Zhang
Publication Type
TechReport
Pages
9
Number
MSR-TR-2002-123

Abstract

Related Info
Abstract
Discovering communities from a graph structure such as the Web has become an interesting
research problem recently. In this paper, comparing with the state-of-the-art authority detecting
and graph partitioning methods, we propose a concentric-circle model to more accurately define
communities. With this model, a community could be described as a set of concentric-circles.
The most important objects representing the concept of a whole community lie in the center and
are called core objects. Affiliated objects, which are related to the core objects, surround the core
with different ranks. Base on the concentric-circle model, a novel algorithm is developed to
discover communities conforming to this model. We also conducted a case study to
automatically discover research interest groups in the computer science domain from the Web.
Experiments show that our method is very effective to generate high-quality communities with
more clear structure and more tunable granularity.
Related Info
Related Files
 tr-2002-123.pdf
Research Areas
 Search and information retrieval
Research Labs
 Microsoft Research Lab - Asia
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