Statistical Social Network Analysis

2016/2017 Academic Year

Program / Content

This intensive course of 3 credit is held by two experts from the social network analysis models: Dr. Alberto Caimo and Dr. Isabella Gollini, which alternate theoretical models to practical moments through the use of the software R. In particular, the course will illustrate the following topics:

• Exponential Models of random graphs and latent variable
• MCMC simulation of random graphs and parameter estimation
• Diagnostic techniques for evaluating the goodness of fit of the models
• R Software for network analysis (statnet)

Readings / Bibliography

• Lusher, D., Koskinen, J., & Robins, G. (2012). Exponential random graph models for social networks: Theory, methods, and applications. Cambridge University Press.
• Hoff, P. D., Raftery, A. E., & Handcock, M. S. (2002). Latent space approaches to social network analysis. Journal of the american Statistical association, 97(460), 1090-1098.

Teaching methods

• Lectures
• Exercises in computer lab

Assessment methods

Learning is considered verified through course attendance and analysis of a case study

Teaching Tools

Teachers' notes

Office hours

Consult the website of Cinzia Viroli

 

DayTime Mon Apr 10  11:00-13:00                       Classroom III, 2nd Floor, Via delle Belle Arti, 41 - Bologna  14:00-17:00 LAB G (Access from Via Ranzani, 1), 1st Floor,Viale Carlo Berti Pichat, 6-6/2 - Bologna Tue Apr 11  10:00-13:00 Classroom II, Gorund Floor, Via delle Belle Arti, 41 - Bologna  14:00-16:00 LAB G (Access from Via Ranzani, 1), 1st Floor, Viale Carlo Berti Pichat, 6-6/2 - Bologna Wed Apr 13  10:00-13:00 Classroom II, Ground Floor, Via delle Belle Arti, 41 - Bologna  14:00-16:00 LAB G (Access from Via Ranzani, 1), Ground Floor, Viale Carlo Berti Pichat, 6-6/2 - Bologna