Academic Year 2018/2019
- Docente: Cinzia Viroli
- Credits: 3
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
-
Corso:
Second cycle degree programme (LM) in
Statistical Sciences (cod. 9222)
Also valid for Second cycle degree programme (LM) in Statistics, Economics and Business (cod. 8876)
Course contents
This intensive course of 3 ECTS is held by two experts of social network analysis models: dr. Alberto Caimo and dott.ssa Isabella Gollini, who will alternate theoretical lessons with practical tutorials through the use of software R. In particular during the course the following topics will be introduced and illustrated:
- Exponential models of random graphs and latent variables
- MCMC simulation of random graphs and parameter estimation
- Diagnostic techniques to evaluate the goodness of fit of the models
- R software for network analysis (statnet)
COURSE TIMETABLE
May 29th, room VII, via Ranzani, 10-13
May 29th, LAB G 14-16
May 30th, room VII, via Ranzani, 9-13
May 30th, LAB G 14-16
May 31th, LAB G 9-12
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
- Theoretical lessons in teaching room
- Tutorials
Assessment methods
Compulsory attendance to the course
Teaching tools
Lecturer notes
Office hours
See the website of Cinzia Viroli