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9780521141383

Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications

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  • ISBN13:

    9780521141383

  • ISBN10:

    0521141389

  • Format: Paperback
  • Copyright: 2012-11-19
  • Publisher: Cambridge University Press

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Summary

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 a self-contained, exhaustive account of 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.

Table of Contents

Introduction
What are exponential random graph models
The formation of social network structure
A simplified account of ERGM as a statistical model
An example of ERGM analysis
Exponential random graph model fundamentals
Dependence graphs and sufficient statistics
Social selection, dyadic covariates and geospatial effects
Autologistic actor attribute models
ERGM extensions: models for multiple networks and bipartite networks
Longitudinal models
Simulation, estimation and goodness of fit
Illustrations: simulation, estimation and goodness of fit
Personal attitudes, perceived attitudes and social structures: a social selection model
How to close a hole: exploring alternative closure mechanisms in inter-organizational networks
Interdependencies between working relations: multivariate ERGMs for advice and satisfaction
Brain, brawn or optimism? The structure and correlates of emergent military leadership
An ALAAM analysis of unemployment: the dual importance of who you know and where you live
Longitudinal changes in face-to-face and text message-mediated friendship networks
The differential impact of directors' social and financial capital on corporate interlock formation
Comparing networks: a structural correspondence between behavioural and recall networks
Modelling social networks: next steps
Table of Contents provided by Publisher. All Rights Reserved.

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