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An introduction to exponential random graph (p*) models for social networks

Author(s): Garry Robins , Pip Pattison , Yuval Kalish , Dean Lusher

Publication date Created: May 2007

Publication date (Print): May 2007

Journal: Social Networks

Publisher: Elsevier BV

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The structure and function of complex networks

M. Newman (2003)

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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The Focused Organization of Social Ties

Scott Feld (1981)

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Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp

Stanley Wasserman, Philippa Pattison (1996)

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Author and article information

Journal

Title: Social Networks

Abbreviated Title: Social Networks

Publisher: Elsevier BV

ISSN (Print): 03788733

Publication date Created: May 2007

Publication date (Print): May 2007

Volume: 29

Issue: 2

Pages: 173-191

Article

DOI: 10.1016/j.socnet.2006.08.002

SO-VID: f387ee75-eaae-46e5-b083-c37cd825a78d

Copyright © © 2007

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http://www.elsevier.com/tdm/userlicense/1.0/

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