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Models and methods in social network analysis / editado por Perter J. Carrington, John Scott e Stanley Wasserman. --

Material type: materialTypeLabelBookSeries: (Structural analysis in the social sciences ; 27).Publisher: New York : Cambrigde university press, 2005Description: 328 p.ISBN: 9780521600972.Subject(s): Sociedade | Redes sociais | análises
Contents:
1. Introduction- Stanley Wasserman, Jonh Scott, and Peter J. Carrington 2. Recent developments in network measurement- Peter V. Marsden 3. Network sampling and model fitting- Ove Frank 4. Externding centrality- Martin Everett and Stephen P. Borgatti 5. Positional analyses of sociometric data- Patrick Doreiam, Vladimir Batajelj, 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. Kehly and Phillipa 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. Snijers 12. Graphic Techniques for exploring social network analysis- Mark Huisman and Marijtje A.J. van Duijn
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Livro Geral Biblioteca Graciliano Ramos
Livro Geral 658.403 M6893 (Browse shelf) Ex. 1 Available 10016650

1. Introduction- Stanley Wasserman, Jonh Scott, and Peter J. Carrington 2. Recent developments in network measurement- Peter V. Marsden 3. Network sampling and model fitting- Ove Frank 4. Externding centrality- Martin Everett and Stephen P. Borgatti 5. Positional analyses of sociometric data- Patrick Doreiam, Vladimir Batajelj, 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. Kehly and Phillipa 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. Snijers 12. Graphic Techniques for exploring social network analysis- Mark Huisman and Marijtje A.J. van Duijn

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