The Structure and Function of Complex Networks
.
SIAM review 45 (2): 167--256 (2003)

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.
  • @chriskoerner
  • @ocelma
  • @bertil.hatt
  • @rafg
  • @kurtjx
  • @stumme
  • @karthikraman
  • @baem
  • @msn
  • @folke
  • @mstrohm
  • @ciro
  • @pprett
  • @svsegbro
  • @jhammerb
  • @rincedd
  • @sosbuch
  • @lysander07
  • @maggi
  • @janlo
  • @muehlburger
  • @dbenz
  • @yish
  • @ytyoun
  • @bronckobuster
  • @snarc
  • @kibanov
  • @cabird
  • @anneba
  • @vittorio.loreto
  • @smatthiesen
  • @cdevries
  • @ans
  • @ldietz
  • @mschuber
  • @christine111
  • @dblp
  • @bfields
  • @chato
  • @dega
  • @lantiq
  • @anduviera
  • @hotho
  • @tipanverella
  • @skosta
  • @tfalk

rating distribution
average user rating5.0 out of 5.0 based on 1 review
  • userPicture
    7 years ago
    Brief and comprehensive introduction into the analysis of complex networks. A very good starting point!
Please log in to take part in the discussion (add own reviews or comments).