Stochastic Actor-Oriented Models for Longitudinal Networks

Name: Stochastic Actor-Oriented Models for Longitudinal Networks
Brand: Cambridge University Press
Price: 177.75 AUD
Availability: PreOrder

By: Tom A.B. Snijders, Christian Steglich

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Paperback | 31 October 2026

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Interest in social networks â" patterns of relations between social actors such as individuals, corporations, and countries â" has grown in the last decade, and analysis of longitudinal network data has moved forward strongly. Social networks often change; understanding this process, where changes lead to other changes, requires tools that can uncover the rules driving these changes. In 'Stochastic Actor-Oriented Models for Longitudinal Networks,' Tom A. B. Snijders and Christian Steglich bring together the first comprehensive textbook on the Stochastic Actor-Oriented Model (SAOM), a leading method for analyzing dynamic network data. They present the diverse SAOM variants developed over the past three decades, covering the co-evolution of networks and actor attributes as well as the co-evolution of multiple one-mode and two-mode networks. Providing a foundation for applying the methods as well as advice for problems encountered in practice, this book offers a detailed guide into the best practices of modeling longitudinal network data.

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