Exponential Random Graph Models for Social Networks (Structural Analysis in the Social Sciences, Series Number 35)
Product Description
Condition - Very Good
The item shows wear from consistent use but remains in good condition. It may arrive with damaged packaging or be repackaged.
Exponential Random Graph Models for Social Networks (Structural Analysis in the Social Sciences, Series Number 35)
- Used Book in Good Condition
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal, and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages, and interpret the results.
Technical Specifications
You might also like
An Introduction to Exponential Random Graph Modeling (Quantitative Applications in the Social Sciences)
Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences)
A User’s Guide to Network Analysis in R
Statistical Analysis of Network Data with R (Use R!)
Analyzing Social Networks
Networks
Social and Economic Networks
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Network Science