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Clustering of tag-induced subgraphs in complex networks

Author

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  • Pollner, Péter
  • Palla, Gergely
  • Vicsek, Tamás

Abstract

We study the behavior of the clustering coefficient in tagged networks. The rich variety of tags associated with the nodes in the networks we considered provide additional relevant information about the entities represented by the nodes. Such specific features can be important for practical applications like searching in the networks. Here we examine how the clustering coefficient changes when narrowing the network to a subgraph associated with a given tag, and how it correlates with various other properties of the subgraph. A further question addressed in our paper is how the clustering coefficient of the individual nodes is affected by the tags on the node. We argue that this kind of analysis can be useful when one is aimed at a detailed description of the structure of large complex systems.

Suggested Citation

  • Pollner, Péter & Palla, Gergely & Vicsek, Tamás, 2010. "Clustering of tag-induced subgraphs in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5887-5894.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:24:p:5887-5894
    DOI: 10.1016/j.physa.2010.09.012
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    References listed on IDEAS

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    1. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
    2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
    3. A. Barrat & M. Weigt, 2000. "On the properties of small-world network models," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 13(3), pages 547-560, February.
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    Cited by:

    1. Gergely Honti & János Abonyi, 2021. "Frequent Itemset Mining and Multi-Layer Network-Based Analysis of RDF Databases," Mathematics, MDPI, vol. 9(4), pages 1-17, February.

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    Keywords

    Networks; Tags; Clustering;
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