Models and Methods in Social Network Analysis

doi:10.1017/CBO9780511811395

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

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Contents

Frontmatter
pp i-vi
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Contents
pp vii-viii
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Acknowledgments
pp ix-x
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Contributors
pp xi-xiv
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1 - Introduction
pp 1-7
- By Stanley Wasserman, Indiana University, John Scott, University of Essex, Peter J. Carrington, University of Waterloo
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2 - Recent Developments in Network Measurement
pp 8-30
- By Peter V. Marsden, Harvard University
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3 - Network Sampling and Model Fitting
pp 31-56
- By Ove Frank, Stockholm University
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4 - Extending Centrality
pp 57-76
- By Martin G. Everett, University of Westminster, Stephen P. Borgatti, Boston College
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5 - Positional Analyses of Sociometric Data
pp 77-97
- By Patrick Doreian, University of Pittsburgh, Vladimir Batagelj, University of Ljubljana, Anuška Ferligoj, University of Ljubljana
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6 - Network Models and Methods for Studying the Diffusion of Innovations
pp 98-116
- By Thomas W. Valente, University of Southern California
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7 - Using Correspondence Analysis for Joint Displays of Affiliation Networks
pp 117-147
- By Katherine Faust, University of California, Irvine
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8 - An Introduction to Random Graphs, Dependence Graphs, and p*
pp 148-161
- By Stanley Wasserman, University of Illinois, Garry Robins, University of Melbourne
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9 - Random Graph Models for Social Networks: Multiple Relations or Multiple Raters
pp 162-191
- By Laura M. Koehly, Texas A&M University, Philippa Pattison, University of Melbourne
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10 - Interdependencies and Social Processes: Dependence Graphs and Generalized Dependence Structures
pp 192-214
- By Garry Robins, University of Melbourne, Philippa Pattison, University of Melbourne
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11 - Models for Longitudinal Network Data
pp 215-247
- By Tom A. B. Snijders, University of Groningen
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12 - Graphic Techniques for Exploring Social Network Data
pp 248-269
- By Linton C. Freeman, University of California, Irvine
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13 - Software for Social Network Analysis
pp 270-316
- By Mark Huisman, Heymans Institute/DPMG, University of Groningen, Marijtje A. J. van Duijn, ICS/Statistics & Measurement Theory, University of Groningen
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Index
pp 317-328
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Structural Analysis in the Social Sciences
pp 329-329
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Models and Methods in Social Network Analysis

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Contents

Frontmatter
pp i-vi

Contents
pp vii-viii

Acknowledgments
pp ix-x

Contributors
pp xi-xiv

1 - Introduction
pp 1-7

2 - Recent Developments in Network Measurement
pp 8-30

3 - Network Sampling and Model Fitting
pp 31-56

4 - Extending Centrality
pp 57-76

5 - Positional Analyses of Sociometric Data
pp 77-97

6 - Network Models and Methods for Studying the Diffusion of Innovations
pp 98-116

7 - Using Correspondence Analysis for Joint Displays of Affiliation Networks
pp 117-147

8 - An Introduction to Random Graphs, Dependence Graphs, and p*
pp 148-161

9 - Random Graph Models for Social Networks: Multiple Relations or Multiple Raters
pp 162-191

10 - Interdependencies and Social Processes: Dependence Graphs and Generalized Dependence Structures
pp 192-214

11 - Models for Longitudinal Network Data
pp 215-247

12 - Graphic Techniques for Exploring Social Network Data
pp 248-269

13 - Software for Social Network Analysis
pp 270-316

Index
pp 317-328

Structural Analysis in the Social Sciences
pp 329-329

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Models and Methods in Social Network Analysis

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