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
16 - Diffusion of Innovations
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 is about co-evolution of a network with a behavioral variable that is binary and can only go up, not down. Such data structures occur, for example, in research about diffusion of innovations and contagion using survival analysis, event history analysis, etc. The model closely resembles the proportional hazards model (or Cox regression) with censored data. What characterizes the treatment in this book is the assumption that the network on which the behavior depends changes endogenously, partly in response to changes in the behavior. The model differs from the preceding chapters because the effects are now in the rate function rather than the evaluation function.
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- Stochastic Actor-Oriented Models for Longitudinal Networks , pp. 286 - 296Publisher: Cambridge University PressPrint publication year: 2026
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