TK – KRTK, 2022 spring

Dorottya Kisfalusi, Balázs Lengyel, László Lőrincz, Bence Ságvári

Location: Centre for Social Sciences - Budapest, Tóth Kálmán utca 4.

HTK K013-14 Meeting Room

Date: 

- 7th April; 9-12 AM

- 14th April, 9-12 AM

- 21th April, 9-12 AM

- 28 th April, 9-12 AM

Course aim

The course intends to introduce the theoretical and methodological aspects of social network analysis.

Requirements:

Basic knowledge in R.

Preparations for the course

Participants are expected to use their own laptops. Please install R and Rstudio on your laptop prior to the first lab.

Downloading R: https://www.r-project.org/

Downloading Rstudio: https://www.rstudio.com/products/rstudio/download/#download

Schedule

Week 1 (2*80 minutes)-  7th April: Introduction, elementary social network concepts, descriptive analysis

Week 2 (2*80 minutes) - 14th April: Visualization, spatial networks

Week 3 (2*80 minutes) - 21th April: Network models, introduction to exponential random graph models (ERGMs)

Week 4 (2*80 minutes) - 28th April: Modelling selection and influence in social networks: Stochastic actor-oriented models (SAOMs)