The exam will consist in the presentation and discussion of the analysis (description and model fitting) of a real network dataset, explaining the working steps and the obtained results. The writing of a short report is also requested, with the commented R code.
During the presentations, few questions will be asked to assess the preparation on the topics of the course.
Students are asked individually to carry out the following tasks:
1) descriptive analysis (including visualization) of the assigned network(s) (and attributes) dataset using the indices and tools learnt in the course.
2) exploratory analysis by finding communities with an appropriate algorithm. Possibly, please try to characterize the communities using the eventually available set of additional covariates.
3) specification and estimation of an ERG model on binary network, choosing an appropriate threshold to dychotomise the weighted relations. Since networks are large-sized, please use a meaningful sub-network to fit the ERGM in a reasonable amount of time.
4) Since you deal with more than one network, please perform the analysis for each network and compare results for the points 1-3
Delivery deadline of the short report and the commented R code:
28th July, 11.59 p.m.
For questions contact me by e-mail or for an appointment on Teams.
Students enrolled for the july 29th session received the datasets by e-mail.