Journal
SIAM REVIEW
Volume 45, Issue 2, Pages 167-256Publisher
SIAM PUBLICATIONS
DOI: 10.1137/S003614450342480
Keywords
networks; graph theory; complex systems; computer networks; social networks; random graphs; percolation theory
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available