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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Newman, M.E.J. The structure and function of complex networks 2003   misc URL 
    Abstract: Inspired by empirical studies of networked systems such as the Internet,
    cial networks, and biological networks, researchers have in recent years
    veloped a variety of techniques and models to help us understand or predict
    e behavior of these systems. Here we review developments in this field,
    cluding such concepts as the small-world effect, degree distributions,
    ustering, network correlations, random graph models, models of network growth
    d preferential attachment, and dynamical processes taking place on networks.
    BibTeX:
    @misc{citeulike:155,
      author = {Newman, M. E. J.},
      title = {The structure and function of complex networks},
      year = {2003},
      url = {http://arxiv.org/abs/cond-mat/0303516}
    }
    

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