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.
All Related Versions
Funding Information
  • U.S. National Science Foundation (DMS-0109086, DMS-0234188)
  • James S. McDonnell Foundation and the Santa Fe Institute

This publication has 309 references indexed in Scilit: