Exponential Random Graph Models, P* and Actor Oriented Models
This chapter describes in non-technical terms how researchers can determine whether empirical networks exhibit certain structural properties (centrality, triadic transitivity, etc.) using a statistical test. These models are referred to as exponential random graph models (ERGM), named after the technique used to generate simulated networks, which can then be compared to the observed network in order to statistically assess network properties. The chapter provides an exposition of the actor oriented co-evolution model, which extends the cross-sectional ERGM framework to model longitudinal processes. These models can be used to determine what behaviors drive social network evolution, and whether social relationships influence behavioral changes. Public health examples are used throughout to illustrate concepts.
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
If you think you should have access to this title, please contact your librarian.