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POLNET School on Social Network Analysis

21 – 25 September 2026, Universität Konstanz, Germany

@politicalnets.bsky.social‬‬

Applications open on 25 February.

Curious about Social Network Analysis and its applications in political network research? Join our POLNET School this September for an enriching learning experience curated by the Standing Group on Political Networks.

About

Social Network Analysis (SNA) is a promising methodological tool and theoretical approach, and its use has increased exponentially in recent years. Currently, it offers numerous quantitative applications in the fields of political, sociological, and organisational sciences.

The POLNET team has been offering an extensive range of social network analysis (SNA) courses for over two decades. This year, we will celebrate its 25th Anniversary while returning to the founding university, Universität Konstanz, in Germany.

The goal of this school is to deepen your knowledge of Social Network Analysis (SNA) by providing you with extensive knowledge of descriptive social network analysis, and sessions on more advanced techniques, such as Relational Event Models, and Discourse Network Analysis.

Programme Information

The school will start on Monday 21 September, during the afternoon. There will be a short module delivered covering an Introduction to R and R Studio. Please note, this session is optional.

Tuesday 22 – Thursday 24 September will be full mandatory days covering topics listed below under the learning outcomes.

Friday 25 September is an optional conference day, featuring a Keynote and Panels throughout the day. If you are a school participant, attendance to the conference is included in your registration. If you would like to attend the one-day conference, without participating in the school, this will require a separate registration with a fee of €50.

Learning outcomes

  • Receive an overview of theories and data in political science network research
  • Understand the basics of SNA, with RI, R II and R III
  • Learn about the key network analysis techniques
  • Gain practical experience in programmes including R, DNA, Visone, and NetLogo
  • Get introduced to more advanced tools such as Discourse Network Analysis (DNA), Exponetial Random Graph Models (ERGM), Relational Event Models, and Agent-based Modelling (ABM).

All sessions are tailored for both beginners and advanced participants on DNA. You have the flexibility to choose which sessions to attend based on your interests and skill level.

Applications for this event will open on 25 February.

 

Who can apply

This school is designed for graduate students (Master’s and doctoral levels), as well as researchers with an interest in the empirical study of social and political networks.

To apply, submit the following as a single PDF file by 30 April 2026:

  • Your CV (Two pages)
  • Short motivational letter (max 350 words)

You can apply here now! Partial or incomplete applications will not be processed. Late applications will not be accepted.

You will be informed about the outcome of your application by email no later than 22 May 2026.

Please do not hesitate to contact Carlos Bravo-Laguna at c.d.bravo.laguna@fgga.leidenuniv.nl with any further questions you may have about the programme.

The school will be delivered in English; you are therefore expected to have a good command of written and spoken English.

Registration fees

The registration fee for the school is €350 and includes coffee breaks, lunch, welcome reception and a social dinner. You will also be given access to a one-day SNA conference, taking place on Friday 25 September.

If you wish to attend the conference only, you will need to register for this separately at a small fee of €50. This includes refreshments throughout the day and lunch.

If your application is successful, you will receive a direct link to register for the School.

Please note that your registration is not confirmed until your application has been accepted and your payment is received in full.

Faculty

The POLNET team are highly qualified international lecturers who bring in their expertise and knowledge on the subject. A list of instructors due to teach at the school can be found below.

Instructors

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