"For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field)"--
"For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field)"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Craig M. Rawlings is Associate Professor of Sociology at Duke University where he is affiliated with the Duke Network Analysis Center. His work focuses on the connections between social structures and culture, including belief systems, knowledge, meaning-making processes, and attitude change. His publications have appeared in the American Journal of Sociology, American Sociological Review, Social Forces, Sociological Science, and Poetics.
Inhaltsangabe
Introduction 1. Network analysis today Part I. Thinking Structurally: 2. What is social structure? 3. What is a social network? 4. How are social network data collected? 5. How are social network data visualized? Part II. Seeing Structure: 6. Structuration and ego-centric networks 7. Sociality and elementary forms of structure 8. Cohesion and groups 9. Hierarchy and centrality 10. Positions and roles 11. Affiliations and dualities 12. Networks and culture Part III. Making Structural Predictions: 13. Models for networks 14. Models for network diffusion 15. Models for social influence Conclusion: 16. Network analysis tomorrow.
Introduction 1. Network analysis today Part I. Thinking Structurally: 2. What is social structure? 3. What is a social network? 4. How are social network data collected? 5. How are social network data visualized? Part II. Seeing Structure: 6. Structuration and ego-centric networks 7. Sociality and elementary forms of structure 8. Cohesion and groups 9. Hierarchy and centrality 10. Positions and roles 11. Affiliations and dualities 12. Networks and culture Part III. Making Structural Predictions: 13. Models for networks 14. Models for network diffusion 15. Models for social influence Conclusion: 16. Network analysis tomorrow.
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