Structural Analysis in the Social Sciences

Theory, Methods, and Applications

By: Dean Lusher (Editor), Johan Koskinen (Editor), Garry Robins (Editor)

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19 November 2012

At a Glance

No. of Pages
360

Dimensions(cm)
22.86 x 15.24 x 2.03

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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.

Industry Reviews

'I've been waiting impatiently for this book and I was definitely not disappointed. Finally we have a sourcebook on ERGMs that is both comprehensive and comprehensible. Most of the chapters are written for quantitative researchers who are not statisticians. Many illustrative empirical applications are worked through. Software packages are discussed. For the researcher who is intrigued by the possibility of analyzing network data with an ERGM, or who is already trying to do so, this is an indispensable resource.' Peter Carrington, University of Waterloo
'This collection offers readers an intuitive understanding of ERGMs, followed by a formal explanation of their statistical underpinnings as well as a methodological cookbook based on current software. Next, network scholars at the forefront of advancing theoretical and methodological contributions present eight compelling empirical studies. These studies illustrate how ERGMs offer exciting opportunities to advance theoretical understandings of network phenomena at the intra-organizational, inter-organizational, and societal levels.' Noshir Contractor, Jane S. and William J. White Professor of Behavioral Sciences, Northwestern University
'p*, the exponential family of random graph distributions introduced by Frank and Strauss in 1986, has indeed become the best statistical model in network science. This edited volume is a must-have - Lusher, Koskinen, and Robins have put together a thorough compilation for both the p* novice and enthusiast. It is the handbook to own - and use!' Stanley Wasserman, Indiana University

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You Can Find This Book In

Non-Fiction Sociology & Anthropology Sociology Social Research & Statistics Mathematics Probability & Statistics Business & Management Organisational Theory & Behaviour

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.

Structural Analysis in the Social Sciences

Theory, Methods, and Applications

At a Glance

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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