Empirical analysis of the evolution of a scientific collaboration network

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{evol-gp-PhysA-final,
  author =       "Marco Tomassini and Leslie Luthi",
  title =        "Empirical analysis of the evolution of a scientific
                 collaboration network",
  journal =      "Physica A",
  year =         "2007",
  volume =       "385",
  pages =        "750--764",
  note =         "Available online 25 July 2007",
  keywords =     "genetic algorithms, genetic programming, Network
                 evolution, Preferential attachment, Scientific
                 collaboration, Social networks",
  ISSN =         "0378-4371",
  URL =          "http://www.sciencedirect.com/science/article/B6TVG-4P8GWXG-7/2/5836255114267d1a22b1d1fa47215fc9",
  DOI =          "doi:10.1016/j.physa.2007.07.028",
  size =         "15 pages",
  abstract =     "We present an analysis of the temporal evolution of a
                 scientific coauthorship network, the genetic
                 programming network. We find evidence that the network
                 grows according to preferential attachment, with a
                 slightly sublinear rate. We empirically find how a
                 giant component forms and develops, and we characterise
                 the network by several other time-varying quantities:
                 the mean degree, the clustering coefficient, the
                 average path length, and the degree distribution. We
                 find that the first three statistics increase over time
                 in the growing network; the degree distribution tends
                 to stabilise toward an exponentially truncated
                 power-law. We finally suggest an effective network
                 interpretation that takes into account the aging of
                 collaboration relationships.",
  notes =        "

                 ",
}

Genetic Programming entries for Marco Tomassini Leslie Luthi

Citations