Models and Methods in Social Network Analysis
by Edited by Peter J. Carrington , John Scott , Stanley WassermanFormat: Paperback
Pub. Date: 2005-02-07
Publisher(s): Cambridge University Press
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Summary
Models and Methods in Social Network Analysis 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 original articles by leading methodologists reviewing recent 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.
Table of Contents
| Acknowledgments | ix | ||||
| Contributors | xi | ||||
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1 | (7) | |||
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8 | (23) | |||
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31 | (26) | |||
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57 | (20) | |||
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77 | (21) | |||
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98 | (19) | |||
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117 | (31) | |||
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148 | (14) | |||
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162 | (30) | |||
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| 10 Interdependencies and Social Processes: Dependence Graphs and Generalized Dependence Structures | 192 | (23) | |||
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| 11 Models for Longitudinal Network Data | 215 | (33) | |||
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| 12 Graphic Techniques for Exploring Social Network Data | 248 | (22) | |||
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| 13 Software for Social Network Analysis | 270 | (47) | |||
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| Index | 317 |
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