Community Evolution in A Scientific Collaboration Network

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@InProceedings{Nguyen:2012:CECa,
  title =        "Community Evolution in A Scientific Collaboration
                 Network",
  author =       "Minh Van Nguyen and Michael Kirley and 
                 Rodolfo Garcia-Flores",
  pages =        "3222--3229",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
                 Computation",
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6256434",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Computation in Social Network Analysis and
                 Applications",
  abstract =     "A community in a network is a set of nodes with a
                 larger density of intra- community links than
                 inter-community links. Tracking communities in a
                 network via a community life-cycle model can reveal
                 patterns on how the network evolve. Previous models of
                 community life-cycle provided a first step towards
                 analysing how communities change over time. We
                 introduce an extended life-cycle model having the
                 minimum community size as a parameter. Our model is
                 capable of uncovering anomaly in community evolution
                 and dynamics such as communities with stable or
                 stagnant size. We apply our model to track, and uncover
                 trends in, the evolution of communities of genetic
                 programming researchers. The lifespan of a community
                 measures how long it has lived. The distribution of
                 lifespan in the network of genetic programming
                 researchers is shown to be modelled as an
                 exponential-law, a phenomenon yet to be explored in
                 other empirical networks. We show that our parameter of
                 minimum community size can significantly affect how
                 communities grow over time. The parameter is fine-tuned
                 to detect anomaly in community evolution.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",
}

Genetic Programming entries for Minh Van Nguyen Michael Kirley Rodolfo Garcia-Flores

Citations