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Printable Handouts
Navigable Slide Index
- Introduction
- Social networks - introduction
- Why are marketers interested?
- Issues in social network research
- Our modeling focus and contribution
- Nature of network data
- Dyadic data
- Structural aspects of network data
- Network structure and heterogeneity
- Statistical models of network structure
- Model: three relationships
- Directed and undirected relationships
- Model: directed and valued relations
- Correlated multivariate hurdle Poisson
- The model
- Model: dependence structure
- Sender and receiver effects
- Selectivity and reciprocity: valued relations
- Latent Euclidean space for actors
- Complete model
- Conditional likelihood
- Bayesian estimation: MCMC methods
- Bayesian estimation: separation strategy prior
- Application
- Schema of a social network
- Social networks
- Swiss online social network of music artists
- Independent variables
- Density and reciprocity
- Degree distribution - friendships
- Degree distribution - communications
- Degree distributions across relationships
- 3 models
- Posterior predictive distribution: friendship model
- Model adequacy: posterior predictive checking
- Predictive ability: music downloads
- Parameter estimates: friendships
- Parameter estimates: music downloads
- Error covariance
- Correlations in person effects
- Takeaways
- 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
Talk Citation
Ansari, A. (2010, January 27). Bayesian modeling of social network data [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 14, 2024, from https://doi.org/10.69645/EREM2449.Export Citation (RIS)