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Models and Methods in Social Network Analysis

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.10.2010

Abbildungen

98 b/w illus.

Herausgeber Peter J. Carrington + weitere

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.10.2010

Abbildungen

98 b/w illus.

Herausgeber
Verlag Cambridge University Press
Seitenzahl

344

Maße (L/B/H)

26/18,3/2,3 cm

Gewicht

843 g

Sprache

Englisch

ISBN

978-0-521-80959-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Models and Methods in Social Network Analysis
  • Produktbild: Models and Methods in Social Network Analysis
  • Acknowledgements; 1. Introduction Stanley Wasserman, John Scott and Peter J. Carrington; 2. Recent developments in network measurement Peter V. Marsden; 3. Network sampling and model fitting Ove Frank; 4. Extending centrality Martin Everett and Stephen P. Borgatti; 5. Positional analyses of sociometric data Patrick Doreian, Vladimir Batagelj and Anuska Ferligoj; 6. Network models and methods for studying the diffusion of innovations Thomas W. Valente; 7. Using correspondence analysis for joint displays of affiliation networks Katherine Faust; 8. An introduction to random graphs, dependence graphs, and p* Stanley Wasserman and Garry Robins; 9. Random graph models for social networks: multiple relations or multiple raters Laura M. Koehly and Philippa Pattison; 10. Interdependencies and social processes: dependence graphs and generalized dependence structures Garry Robins and Philippa Pattison; 11. Models for longitudinal network data Tom A. B. Snijders; 12. Graphical techniques for exploring social network data Linton C. Freeman; 13. Software for social network analysis Mark Huisman and Marijtje A. J. van Duijn; Index.