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Community Detection via Facility Location

2007/10/19 by Jonathan W. Berry, Berry, Jonathan W., Bruce Hendrickson +7 · 1 citation
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Data Analysis #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Network Security and Intrusion Detection #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an) #physics.data-an #physics.soc-ph

paper · pdf · doi:10.48550/arxiv.0710.3800

4 pages, 3 figures

openalex publication_date 2007/10/19 · arxiv created 2007/11/09 · arxiv updated 2011/11/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this paper we apply theoretical and practical results from facility location theory to the problem of community detection in networks. The result is an algorithm that computes bounds on a minimization variant of local modularity. We also define the concept of an edge support and a new measure of the goodness of community structures with respect to this concept. We present preliminary results and note that our methods are massively parallelizable.

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