Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Preface
- Part I Network Dynamics
- Part II Networks and Behavior
- 11 Behavior Change in a Network Context
- 12 Longitudinal Behavior Data
- 13 Modeling Network–Behavior Co-evolution
- 14 Effects for Behavior
- 15 Estimation and Model Construction for Co-evolution Models
- 16 Diffusion of Innovations
- 17 Goodness of Fit and Other Uses of Simulated Data
- Part III Special Data Structures
- Glossary
- References
- Index
15 - Estimation and Model Construction for Co-evolution Models
from Part II - Networks and Behavior
Published online by Cambridge University Press: aN Invalid Date NaN
Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Preface
- Part I Network Dynamics
- Part II Networks and Behavior
- 11 Behavior Change in a Network Context
- 12 Longitudinal Behavior Data
- 13 Modeling Network–Behavior Co-evolution
- 14 Effects for Behavior
- 15 Estimation and Model Construction for Co-evolution Models
- 16 Diffusion of Innovations
- 17 Goodness of Fit and Other Uses of Simulated Data
- Part III Special Data Structures
- Glossary
- References
- Index
Summary
This chapter treats the estimation of parameters in co-evolution models. Particular attention is given to the estimation of parameters in models that include selection (effects of behavior on the network) as well as influence (effects of the network on behavior). Some advice is given about model specification, with examples. The chapter also discusses the intricate issue of causality: To what extent can it be stated that the associated methods disentangle influence from selection? It is concluded that methods such as those in this book will reveal causality only in a temporal sense: Can behavior change be represented (in part) as a consequence of the network (“network as antecedent”), and/or can network change be represented (in part) as a consequence of the behavior (“network as a consequence”). The chapter ends with some historical remarks.
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- Stochastic Actor-Oriented Models for Longitudinal Networks , pp. 269 - 285Publisher: Cambridge University PressPrint publication year: 2026
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