Stochastic Actor-Oriented Models for Longitudinal Networks
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- Englisch ausgewählt
Fr. 82.90
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
30.09.2026
Verlag
Cambridge AcademicSeitenzahl
500
Sprache
Englisch
ISBN
978-1-00-984368-3
Interest in social networks - patterns of relations between social actors such as individuals, corporations, and countries - 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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