Applied Social Network Analysis

About

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 Lecturer Faculty of Political Science, Philosophy and Communication Science West University of Timisoara

Target group

-Master
-PhD
-Post-doc
-Professional

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

Fee info