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Modeling connectivity in terms of network activity

Antiqueira, L.; Rodrigues, F. A.; Costa, Luciano Da Fontoura Universidade De São Paulo

Journal of Statistical Mechanics-theory and Experiment

IOP PUBLISHING LTD 2009

Acesso online

  • Título:
    Modeling connectivity in terms of network activity
  • Autor: Antiqueira, L.; Rodrigues, F. A.; Costa, Luciano Da Fontoura
  • Universidade De São Paulo
  • Assuntos: Growth Processes; Network Dynamics; Small-World; Complex Networks; Cerebral-Cortex; Food-Webs; Organization; Mechanics; Physics; Mathematical
  • É parte de: Journal of Statistical Mechanics-theory and Experiment
  • Descrição: A new complex network model is proposed which is founded on growth, with new connections being established proportionally to the current dynamical activity of each node, which can be understood as a generalization of the Barabasi-Albert static model. By using several topological measurements, as well as optimal multivariate methods (canonical analysis and maximum likelihood decision), we show that this new model provides, among several other theoretical kinds of networks including Watts-Strogatz small-world networks, the greatest compatibility with three real-world cortical networks.
    FAPESP[05/00587-5]
    FAPESP[07/50633-9]
    FAPESP[06/61743-7]
    CNPq[301303/06-1]
  • DOI: 10.1088/1742-5468/2009/09/L09005
  • Títulos relacionados: Journal of Statistical Mechanics-theory and Experiment
  • Editor: IOP PUBLISHING LTD
  • Data de publicação: 2009
  • Idioma: Inglês

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