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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.
  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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