Dr. R .M. (Rafiazka) Hilman

University of Amsterdam



Radboud Summer School


Radboud University Nijmegen, Summer 2022-2023, Course: Applied Social Network Analysis


The course is designed for an interdisciplinary cohort of participants, from a wide range of methodological backgrounds in quantitative and qualitative research. 

We will cover three essentials: (1) problem framing and jargon, (2) data and software, and (3) analytic techniques and interpretation of results. What to expect:
Pre-course: 
  • Interdisciplinary readings (network science, social network analysis, political network analysis, organizational network analysis, policy network analysis)  
  • Software fundamentals (tutorials of R and Gephi) 

Course: 
  • Day 1 – Social Network Analysis & Network Data – Applications 
  • Day 2 – Insights at the Network Level – Understanding Complex Ecosystems 
  • Day 3 – Insights at the Community Level – Understanding Groups 
  • Day 4 – Insights at the Individual Level – Understanding Key Actors 
  • Day 5 – Causality in Networks – Intro to Inferential Network Analysis & Impact Assessment 
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