vix.ing · top · new · best · stats

The Structure and Function of Complex Networks

2003/01/01 by M. E. J. Newman, Michael Newman · 1 voice · 18,828 citations
Decision Sciences · Mathematics · Physics and Astronomy · #Artificial intelligence #Biological network #Cluster analysis #Clustering coefficient #Complex Network Analysis Techniques #Complex network #Computer science #Data science #Degree distribution #Evolving networks #Field (mathematics) #Game Theory and Applications #Graph #Mathematics #Network formation #Network science #Opinion Dynamics and Social Influence #Preferential attachment #Random graph #Small-world network #The Internet #Theoretical computer science #Variety (cybernetics) #World Wide Web #cond-mat.dis-nn #cond-mat.stat-mech

paper · pdf · doi:10.1137/s003614450342480

published in SIAM Review 45(2), 167-256 (Society for Industrial and Applied Mathematics) · Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003)

openalex publication_date 2003/01/01 · arxiv created 2003/03/25 · arxiv published 2003/03/25 · arxiv updated 2015/06/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Inspired by empirical studies of networked systems such as the Internet, social networks, and bio-logical 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 eect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.

Citations

Cited by

Discussions

Related