Stochastic Actor-Oriented Models for Longitudinal Networks
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- Publisher:
- Cambridge University Press
- ISBN:
- 9781009843713
- 9781009843676
- 9781009843683
- Dimensions:
- (229 x 152 mm)
- Weight & Pages:
- 425 Pages
- Dimensions:
- (229 x 152 mm)
- Weight & Pages:
- 425 Pages
- Subjects:
- Social Theory, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Sociology
- Series:
- Structural Analysis in the Social Sciences (55)
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- Social Theory, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Sociology
- Series:
- Structural Analysis in the Social Sciences (55)
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Book description
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 since the 1990s, 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.
Reviews
‘From adolescent delinquency to adult health and job performance, scholars have long sought to understand how peers’ beliefs and practices shape individual behavior. The central difficulty is that the same social forces that influence behavior also shape relationships, making peer influence and peer selection notoriously hard to disentangle. In Stochastic Actor-Oriented Models for Longitudinal Networks, Snijders and Steglich cut through this analytic knot with a cutting-edge computational approach to modeling the co-evolution of networks and behavior. Rigorous, lucid, and richly illustrated, this book is a landmark contribution and an essential text for anyone interested in social influence, network dynamics, and the empirical study of peer effects.’
James Moody - Duke University
‘The interplay between individual behaviors and social structure is crucial to understanding outcomes in the evolution of social systems across time. Professors Snijders and Steglich have long been international leaders in the theory of and methods for the analysis of longitudinal social networks, and especially the co-evolution of actor attributes and network ties. This book comprehensively describes the state of the art.’
Garry Robins - University of Melbourne
‘The field has been waiting for this book, and it is the definitive reference that everyone hoped it would be.’
Ulrik Brandes - ETH Zürich
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