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The Structure and Function of Complex Networks

Michael Newman · SIAM Review · 2003

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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.

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APA 7

Newman, M. (2003). The Structure and Function of Complex Networks. https://doi.org/10.1137/s003614450342480

MLA

Newman, Michael. "The Structure and Function of Complex Networks." 2003. https://doi.org/10.1137/s003614450342480.

Chicago

Newman, Michael. 2003. "The Structure and Function of Complex Networks.". https://doi.org/10.1137/s003614450342480.

Harvard

Newman, M. 2003, The Structure and Function of Complex Networks, SIAM Review, available at: https://doi.org/10.1137/s003614450342480 [Accessed 7 Aug. 2026].

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Title
The Structure and Function of Complex Networks
Author / contributors
Michael Newman
Publisher
SIAM Review
Publication year
2003
Language
English

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