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A model for social networks

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Author Info

  • Toivonen, Riitta
  • Onnela, Jukka-Pekka
  • Saramäki, Jari
  • Hyvönen, Jörkki
  • Kaski, Kimmo
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    Abstract

    Social networks are organized into communities with dense internal connections, giving rise to high values of the clustering coefficient. In addition, these networks have been observed to be assortative, i.e., highly connected vertices tend to connect to other highly connected vertices, and have broad degree distributions. We present a model for an undirected growing network which reproduces these characteristics, with the aim of producing efficiently very large networks to be used as platforms for studying sociodynamic phenomena. The communities arise from a mixture of random attachment and implicit preferential attachment. The structural properties of the model are studied analytically and numerically, using the k-clique method for quantifying the communities.

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    Bibliographic Info

    Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

    Volume (Year): 371 (2006)
    Issue (Month): 2 ()
    Pages: 851-860

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    Handle: RePEc:eee:phsmap:v:371:y:2006:i:2:p:851-860

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    Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/

    Related research

    Keywords: Social networks; Community structure; Complex networks; Small world;

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    Cited by:
    1. Ikeda, Nobutoshi, 2010. "Impact of initial lattice structures on networks generated by traces of random walks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3336-3347.
    2. Michael Koenig, 2012. "The Formation of Networks with Local Spillovers and Limited Observability," Discussion Papers 11-004, Stanford Institute for Economic Policy Research.
    3. Luthi, Leslie & Pestelacci, Enea & Tomassini, Marco, 2008. "Cooperation and community structure in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 955-966.
    4. Tomassini, Marco & Luthi, Leslie, 2007. "Empirical analysis of the evolution of a scientific collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 750-764.

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