@misc{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.},
  author = {Newman, M. E. J.},
  file = {newman2003structure.pdf:newman2003structure.pdf:PDF},
  interhash = {7bedd01cb4c06af9f5200b0fb3faa571},
  intrahash = {d53568209eef08fb0a8734cf34c59a71},
  lastdatemodified = {2006-10-07},
  lastname = {Newman},
  month = {March},
  own = {notown},
  pdf = {newman03-structure.pdf},
  read = {notread},
  title = {The structure and function of complex networks},
  url = {http://arxiv.org/abs/cond-mat/0303516},
  year = 2003
}