Program

Course requirements

No prior knowledge of social network analysis is assumed for this course. However, it would be useful to read Doing social network research (Robins, 2015). SAGE Publications Ltd. 

Who is this course for?

Postgraduate research students, postdocs and academics wishing to use Social Networks in their research.

Language

Summer school courses will be taught in English unless all the participants are proficient in Spanish.

Course leaders:

Dr Alejandro Espinosa-Rada (Social Networks Lab., ETH Zürich)

Dr Diego Palacios (Society and Health Research Center, Universidad Mayor)

Dr Francisca Ortiz Ruiz (Millennium Institute for Care Research - MICARE)

Dr George Vega Yon (The University of Utah)

Preliminary Program

Time Monday 8* Tuesday 9 Wednesday 10 Thursday 11 Friday 12
9.00-10.15 Intro to Social Networks Network Visualizations Data gathering in the era of Computational Social Science Testing hypothesis Intro to RSiena
10.15-10.30 Break Break Break Break Break
10.30-11.45 Intro to R Multivariate techniques and whole networks Ego-networks Intro to ERGMs Group work
11.45-12.00 Break Break Break Break Break
12.00-13.30 Rene Veenstra Group Work Silvia Dominguez Group Work Johan Koskinen
13.30-14.30 Lunch Lunch Lunch Lunch Lunch
14.30-15.45 Research Design Centrality Personal Networks ERGMs advances topics New topic in Network Modeling
15.45-16.00 Break Break Break Break Break
16.00-17.15 Group Work Subgroups and two-mode networks Mixed Methods Intro to RSiena Presentation participants
17.30- 19.00 Dinner - Social gathering - Social gathering

*Summer school registration will be at 8.30