
Absolvent katedry dr. Tomáš Diviák, který působí na University of Manchester v The Mitchell Centre for Social Network Analysis, se podílí na letní škole:
The Mitchell Centre for Social Network Analysis at the University of Manchester is excited to introduce a new 3-course in-person “M Summer. School on Network Analysis for Social Sciences”.
These three intense 1-week courses are designed for academics, students, researchers, and professionals interested in network analysis for social sciences at various levels:
- Introduction to Network Analysis for Social Sciences with UCINET(15–19 September 2025)
A core introductory course on network analysis for social scientists. The course covers the main network-analytical concepts, methods, and data collection/processing techniques for social sciences using UCINET. No prior experience is required.
- Network Analysis for Social Sciences with R(15–19 September 2025)
An in-depth overview of concepts and measures in social network analysis using R, covering R packages for SNA; data collection importing and manipulation, and much more. No prior knowledge of R or social network analysis is required.
- Statistical Network Modelling for Social Sciences(22–26 September 2025)
An in-depth overview of statistical models for social network analysis. Includes core statistical methods, such as ERGMs, SAOMs, REM and more. No prior knowledge of R is required, but basic knowledge of social network analysis and quantitative methods is recommended.
Each course includes 30 contact hours (Monday to Friday, 9:30am–4:30pm) and is taught by experts from the Mitchell Centre (Filip Agneessens, Nikita Basov, Nick Crossley, Tomáš Diviák, Martin Everett, Michael Genkin, and Philip Leifeld). These courses are hands-on, allowing participants the opportunity to gain experience in analysing real-world social network data, and also offer participants the option to discuss their own projects in network analysis with relevant experts from the Mitchell Centre.
We are welcoming applications by June 30 and highly appreciate spreading the word further to those who might be interested.
Fees for a one-week course:
- Academics from A economies: £600,
- Students *and* B and C economies academics: £450,
- Industry: £1000 per week.
There is a £100 discount on Course 3 (Statistical Network Modelling) when booked at the same time as Course 1 or Course 2.
More information and registration can be found on the Mitchell Centre website:
https://www.socialsciences.manchester.ac.uk/mitchell-centre/connect/schools/m-summer/
V případě dotazů se můžete obrátit i na dr. Diviáka: tomas.diviak@manchester.ac.uk