Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Preface
- Part I Network Dynamics
- 1 Network Dynamics: Ties Have Consequences
- 2 Longitudinal Network Data
- 3 Actor-Oriented Models: Fundamentals
- 4 What Drives Network Dynamics: Effects
- 5 Parameter Estimation and Testing
- 6 Actor-Oriented Models: Elaboration
- 7 Rate Functions
- 8 Creating New and Maintaining Existing Ties
- 9 Local Models, Global Consequences
- 10 Absent Data
- Part II Networks and Behavior
- Part III Special Data Structures
- Glossary
- References
- Index
4 - What Drives Network Dynamics: Effects
from Part I - Network Dynamics
Published online by Cambridge University Press: aN Invalid Date NaN
Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Preface
- Part I Network Dynamics
- 1 Network Dynamics: Ties Have Consequences
- 2 Longitudinal Network Data
- 3 Actor-Oriented Models: Fundamentals
- 4 What Drives Network Dynamics: Effects
- 5 Parameter Estimation and Testing
- 6 Actor-Oriented Models: Elaboration
- 7 Rate Functions
- 8 Creating New and Maintaining Existing Ties
- 9 Local Models, Global Consequences
- 10 Absent Data
- Part II Networks and Behavior
- Part III Special Data Structures
- Glossary
- References
- Index
Summary
Chapter 3 introduced the evaluation function as the skeleton of the model, used to define the probabilities of network change. Chapter 4 gives some flesh on the bones by introducing effects, which are the components of the evaluation function. Effects are functions of the network as seen from the focal actor. They represent mechanisms, or components of mechanisms, of network dynamics. Change statistics are defined as changes in the value of the effect when a particular tie is established. The chapter presents a set of major effects that are often important for modeling. There are many more, for which the reader is referred to the software manual.
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- Publisher: Cambridge University PressPrint publication year: 2026
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