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
11 - Behavior Change in a Network Context
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 sets the scene for Part Two of this book by discussing some basic issues for the analysis of interdependent change in networks and in behavior. The first section formulates what is meant by “generalized social influence.” It is proposed to think about “selection,” which refers to network dynamics, and “influence,” which refers to behavior dynamics, as conjugate processes, that is, processes explaining the same cross-sectional association between network and behavior, which should be investigated in tandem. It is also highlighted that to obtain a good model specification, researchers should think about attributes of actors and/or shared context that might cause changes in the network as well as changes in the behavior – so-called confounders.
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- Stochastic Actor-Oriented Models for Longitudinal Networks , pp. 213 - 223Publisher: Cambridge University PressPrint publication year: 2026
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