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The Structure and Function of Complex Networks

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DOI: 10.1137/S003614450342480

Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.

In: SIAM review, Vol. 45, Nr. 2JSTOR (2003) , p. 167--256.

@article{newman2003structure,
  abstract = {Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.},
  added-at = {2011-12-08T08:38:58.000+0100},
  author = {Newman, M.E.J.},
  biburl = {http://www.bibsonomy.org/bibtex/2cf461fed5e29f83bd9f3726a1713a832/folke},
  doi = {10.1137/S003614450342480},
  interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
  intrahash = {cf461fed5e29f83bd9f3726a1713a832},
  issn = {0036-1445},
  journal = {SIAM review},
  keywords = {},
  number = 2,
  pages = {167--256},
  publisher = {JSTOR},
  title = {The Structure and Function of Complex Networks},
  volume = 45,
  year = 2003
}

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(5.0 of 5.0 based on 1 review)

folkeon Dec 8, 2011
Brief and comprehensive introduction into the analysis of complex networks. A very good starting point!
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