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The structure and function of complex networks. (English) Zbl 1029.68010

Summary: 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.

MSC:

68M10 Network design and communication in computer systems
05C90 Applications of graph theory
05C75 Structural characterization of families of graphs
94C15 Applications of graph theory to circuits and networks
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