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Fast Community Identification By Hierarchical Growth

Author

Listed:
  • F. A. RODRIGUES

    (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil;
    P. O. Box 369, 13560-970, Brazil)

  • G. TRAVIESO

    (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil;
    P. O. Box 369, 13560-970, Brazil)

  • L. da F. COSTA

    (Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil;
    P. O. Box 369, 13560-970, Brazil)

Abstract

A new method for community identification is proposed which is founded on the analysis of successive neighborhoods, reached through hierarchical growth from a starting vertex, and on the definition of communities as a subgraph whose number of inner connections is larger than outer connections. In order to determine the precision and speed of the method, it is compared with one of the most popular community identification approaches, namely Girvan and Newman's algorithm. Although the hierarchical growth method is not as precise as Girvan and Newman's method, it is potentially faster than most community finding algorithms.

Suggested Citation

  • F. A. RODRIGUES & G. TRAVIESO & L. da F. COSTA, 2007. "Fast Community Identification By Hierarchical Growth," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 937-947.
    • Handle: RePEc:wsi:ijmpcx:v:18:y:2007:i:06:n:s0129183107011042
    DOI: 10.1142/S0129183107011042
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    References listed on IDEAS

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