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Cited by 283

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Local method for detecting communities

Open access
Bagrow, James P., Bollt, Erik M.·2005·Physical Review E

Abstract

We propose a method of community detection that is computationally inexpensive and possesses physical significance to a member of a social network. This method is unlike many divisive and agglomerative techniques and is local in the sense that a community can be detected within a network without requiring knowledge of the entire network. A global application of this method is also introduced. Several artificial and real-world networks, including the famous Zachary karate club, are analyzed.

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Metadata

Authors
Bagrow, J. P., & Bollt, E. M.
Venue
Physical Review E
Published
2005-10-10
Volume
72
Issue
4
Pages
046108-046108
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2166692708
Cited by
283
References
4
FWCI
8.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Local method for detecting communities. https://app.cochat.ai/papers/10.1103/physreve.72.046108
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Bagrow, J. P., & Bollt, E. M. (2005). Local method for detecting communities. Physical Review E. https://doi.org/10.1103/physreve.72.046108

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.