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1. Introduction
2. Social networks - introduction
3. Why are marketers interested?
4. Issues in social network research
5. Our modeling focus and contribution
6. Nature of network data
7. Dyadic data
8. Structural aspects of network data
9. Network structure and heterogeneity
10. Statistical models of network structure
11. Model: three relationships
12. Directed and undirected relationships
13. Model: directed and valued relations
14. Correlated multivariate hurdle Poisson
15. The model
16. Model: dependence structure
17. Sender and receiver effects
18. Selectivity and reciprocity: valued relations
19. Latent Euclidean space for actors
20. Complete model
21. Conditional likelihood
22. Bayesian estimation: MCMC methods
23. Bayesian estimation: separation strategy prior
24. Application
25. Schema of a social network
26. Social networks
27. Swiss online social network of music artists
28. Independent variables
29. Density and reciprocity
30. Degree distribution - friendships
31. Degree distribution - communications
32. Degree distributions across relationships
33. 3 models
34. Posterior predictive distribution: friendship model
35. Model adequacy: posterior predictive checking
36. Predictive ability: music downloads
37. Parameter estimates: friendships
38. Parameter estimates: music downloads
39. Error covariance
40. Correlations in person effects
41. Takeaways
42. Future research

Topics Covered

• Social networks
• Some modeling questions and issues in social network research
• Nature of network data
• Network structure and heterogeneity
• Statistical models of network structure
• Sender and receiver effect
• Selectivity and reciprocity
• Bayesian estimation
• Schema of a social network
• Swiss online social network of music

Links

Series:

• Bayesian Analysis in Marketing

Categories:

• Marketing & Sales
• Technology & Operations

Talk Citation

Publication History

• Published on January 27, 2010