MethodsNet + RSS
MethodsNet + RSS

Applied Social Network Analysis (RSS1.10) - Closed

Social Network Analysis is a very useful research framework, strongly rooted in interdisciplinary theory, data, and practice. It seeks to test relational mechanisms for building and/or disrupting social ecosystems, for better informed decision-making in change management, organizational development and people analytics.



    This course is closed, registration is no longer possible. 

    In this one-week course, you will learn about the power and limitations of a scientific research framework to, quite literally, change the world. It will be an intense intellectual challenge that starts before this course and hopefully lasts a long time after. Through the assigned readings, you will be challenged to rethink how the world works and connect the previously known dots in a different way. You will struggle through the process of working with imperfect data and software. And, most importantly, you will be challenged to put your research into a different perspective – to think about ways in which you can make it better, more visible, actionable, and impactful. 

    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:


    • Interdisciplinary readings (network science, social network analysis, political network analysis, organizational network analysis, policy network analysis)  
    • Software fundamentals (tutorials of R and Gephi) 


    • 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 


    Feeling overwhelmed, excited, and developing a passion for networks :)


    Watch what our participants say about their experience!

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    (Social) Research Methods courses

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    Cannot join us this year? 

    We can keep you informed about the 2025 course program! Do you want to broaden your knowledge in 2025 over courses about sustainability, law, research methods & skills, data science and more. Get an email when the new proposal is ready. Because you have part to play!

    Keep me informed

    Starting date

    17 June 2024, 9 am
    Educational method
    Main Language
    17 June 2024, 9 am - 21 June 2024, 5 pm
    Silvia Fierăscu
    Unique code


    Type of education
    Entry requirements
    See the requirements in cost and admission
    Study load (ECTS)
    Radboud Summer School

    Total package & social events

    Silvia Fierăscu

    Silvia Fierăscu

    Silvia Fierăscu is a senior lecturer in Communication Science at West University of Timisoara, Romania, and Timisoara's Urban Hero for her impact in education. Silvia earned her PhD in Political Science with a specialization in Network Science and she is currently an international researcher, professor and consultant in network and data science applied in change management. Silvia is passionate about the invisible world of how we are all connected. She has spent the last 13 years analysing hundreds of social ecosystems, tens of thousands of organisations and individuals in business, politics, civil society and social life, and millions of interactions between them. She has mapped flows of communication, collaboration, money, trust and influence, with the aim of understanding how to build healthy social ecosystems around us.

    This course is closed, registration is no longer possible. 



    • Regular: €1049 (application deadline 1st of May)
    • Student & PhD's: €699 (application deadline 1st of May)

    Includes: your course, short morning and late afternoon courses, coffee and tea during breaks, a warm lunch every day, Official Opening, MethodsNET Café (including some drinks and snacks) Official Closing (with some drinks and snacks) and a 1-year (2024 calendar year) free membership as MethodsNET regular member.

    Excludes: transport, accommodation, social events and other costs. 

    Discounts and Scholarships


    Level of participant: 

    • Master
    • PhD
    • Postdoc
    • Professional

    Admission requirements: 

    No prior knowledge is needed and people with any methodological or substantive backgrounds are welcome. - this is not a software class, it is a methods class aided by software, so prior knowledge of R is an advantage for those who would like to use their own data for analysis during the week we spend together.

    Admission documents: