Nijmegen, Netherlands

Applied Social Network Analysis

when 20 June 2022 - 24 June 2022
language English
duration 1 week
credits 2 EC
fee EUR 575

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

Social Network Analysis is a research framework strongly rooted in interdisciplinary theory, data, and practice. It seeks to test relational mechanisms for network building & network disruption, for better informed decision-making.

Course leader

Silvia Fierascu
Faculty of Political Science, Philosophy and Communication Science
West University of Timisoara

Target group


This PhD level course is open to all researchers aiming at bringing their research to the next level - having tangible impact with their research in organizations, society, and policy. The course is suited for participants with both qualitative and quantitative backgrounds, in any social science field, at stage of their career or research development.

Course aim

After this course you are able to:

-Identify research opportunities and gaps in interdisciplinary literature that can be addressed with a relational perspective
-Design network analytical and mixed-methods applied research
-Map complex ecosystems, identify communities and key actors, and measure network mechanisms for building trust, optimizing communications, improving diversity and inclusion, leveraging popularity, bridging capacity and influence, and enabling collaboration
-Analyze, visualize, and recommend data-driven, evidence-based decision making in diverse areas

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.


We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)

Register for this course
on course website