Identifying Overlapping Communities and Their Leading Members in Social Networks

  • Camilo Palazuelos
  • Marta Zorrilla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8109)


With the recent increasing popularity of social networking services like Facebook and Twitter, community structure has become a problem of considerable interest. Although there are more than a hundred algorithms that find communities in networks, only a few are able to detect overlapping communities, and an even smaller number of them follow an approach based on the evolution dynamics of these networks. Thus, we present FRINGE, an algorithm for the detection of overlapping communities in networks, which, based on the ideas of friendship and leadership, not only returns the overlapping communities detected, but also specifies their leading members. We describe the algorithm in detail and compare its results with those obtained by CFinder and iLCD for both synthetic and real-life networks. These results show that our proposal behaves well in networks with a clear social hierarchy, as seen in modern social networks.


community detection graph algorithms overlapping communities social influence social networks 


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  1. 1.
    Adamcsek, B., Palla, G., Farkas, I., Derényi, I., Vicsek, T.: CFinder: Locating Cliques and Overlapping Modules in Biological Networks. Bioinformatics 22(8), 1021–1023 (2006)CrossRefGoogle Scholar
  2. 2.
    Cazabet, R., Amblard, F., Hanachi, C.: Detection of Overlapping Communities in Dynamical Social Networks. In: Proceedings of the 2nd IEEE International Conference on Social Computing, pp. 309–314 (2010)Google Scholar
  3. 3.
    Fortunato, S.: Community Detection in Graphs. Physics Reports 486(3-5), 75–174 (2010)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Girvan, M., Newman, M.: Community Structure in Social and Biological Networks. Proceedings of the National Academy of Sciences 99(12), 7821 (2002)MathSciNetCrossRefMATHGoogle Scholar
  5. 5.
    Gregory, S.: An Algorithm to Find Overlapping Community Structure in Networks. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 91–102. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  6. 6.
    Gregory, S.: A Fast Algorithm to Find Overlapping Communities in Networks. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part I. LNCS (LNAI), vol. 5211, pp. 408–423. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  7. 7.
    Lancichinetti, A., Fortunato, S.: Benchmarks for Testing Community Detection Algorithms on Directed and Weighted Graphs with Overlapping Communities. Physical Review E 80(1), 016118 (2009)Google Scholar
  8. 8.
    Lancichinetti, A., Fortunato, S., Radicchi, F.: Benchmark Graphs for Testing Community Detection Algorithms. Physical Review E 78(4), 046110 (2008)Google Scholar
  9. 9.
    Lusseau, D., Schneider, K., Boisseau, O., Haase, P., Slooten, E., Dawson, S.: The Bottlenose Dolphin Community of Doubtful Sound Features a Large Proportion of Long-lasting Associations. Behavioral Ecology and Sociobiology 54(4), 396–405 (2003)CrossRefGoogle Scholar
  10. 10.
    Moody, J., White, D.: Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups. American Sociological Review 68, 103–127 (2003)CrossRefGoogle Scholar
  11. 11.
    Palazuelos, C., Zorrilla, M.: FRINGE: A New Approach to the Detection of Overlapping Communities in Graphs. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011, Part III. LNCS, vol. 6784, pp. 638–653. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Palazuelos, C., Zorrilla, M.: Analysis of Social Metrics in Dynamic Networks: Measuring the Influence with FRINGE. In: Proceedings of the 2012 EDBT/ICDT Workshops, pp. 9–12 (2012)Google Scholar
  13. 13.
    Palla, G., Derényi, I., Farkas, I., Vicsek, T.: Uncovering the Overlapping Community Structure of Complex Networks in Nature and Society. Nature 435(7043), 814–818 (2005)CrossRefGoogle Scholar
  14. 14.
    Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Structural Analysis in the Social Sciences. Cambridge University Press (1994)Google Scholar
  15. 15.
    Zachary, W.: An Information Flow Model for Conflict and Fission in Small Groups. Journal of Anthropological Research 33(4), 452–473 (1977)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Camilo Palazuelos
    • 1
  • Marta Zorrilla
    • 1
  1. 1.Dept. of Mathematics, Statistics, and Computer ScienceUniversity of CantabriaSantanderSpain

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