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Popularity versus similarity in growing networks

Author

Listed:
  • Fragkiskos Papadopoulos

    (Computer Engineering and Informatics, Cyprus University of Technology, 33 Saripolou Street, 3036 Limassol, Cyprus)

  • Maksim Kitsak

    (Cooperative Association for Internet Data Analysis (CAIDA), University of California, San Diego (UCSD), La Jolla, California 92093, USA)

  • M. Ángeles Serrano

    (Departament de Física Fonamental, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain)

  • Marián Boguñá

    (Departament de Física Fonamental, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain)

  • Dmitri Krioukov

    (Cooperative Association for Internet Data Analysis (CAIDA), University of California, San Diego (UCSD), La Jolla, California 92093, USA)

Abstract

A framework is developed in which new connections to a growing network optimize geometric trade-offs between popularity and similarity, instead of simply preferring popular nodes; this approach accurately describes the large-scale evolution of various networks.

Suggested Citation

  • Fragkiskos Papadopoulos & Maksim Kitsak & M. Ángeles Serrano & Marián Boguñá & Dmitri Krioukov, 2012. "Popularity versus similarity in growing networks," Nature, Nature, vol. 489(7417), pages 537-540, September.
    • Handle: RePEc:nat:nature:v:489:y:2012:i:7417:d:10.1038_nature11459
    DOI: 10.1038/nature11459
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