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Author Newman, M.E.J.
Title The Structure and Function of Complex Networks Type Journal Article
Year 2003 Publication SIAM Review Abbreviated Journal SIAM Rev.
Volume 45 Issue 2 Pages 167-256
Keywords networks; graph theory; complex systems; computer networks; social networks; random graphs; percolation theory
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.
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Call Number Equine Behaviour @ team @ Serial 5214
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