The Structure and Function of Complex Networks
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.
- Publication:
-
SIAM Review
- Pub Date:
- January 2003
- DOI:
- arXiv:
- arXiv:cond-mat/0303516
- Bibcode:
- 2003SIAMR..45..167N
- Keywords:
-
- networks;
- graph theory;
- complex systems;
- computer networks;
- social networks;
- random graphs;
- percolation theory;
- Condensed Matter - Statistical Mechanics;
- Condensed Matter - Disordered Systems and Neural Networks
- E-Print:
- Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003)