Special Interest Group Network Science

Organisation team

Mahdi Shafiee Kamalabad is an assistant professor of Applied Data Science at the Department of Methodology and Statistics. His main research interests are Network Modeling (and Inference), Social Network Analysis,Complex data analysis and Bayesian Statistics.

Javier Garcia Bernardo is an assistant professor at the Department of Methodology and Statistics in the Social Data Science (SoDa) team. In his research, he applies computational and Network models to understand social and economical systems.

Hans Bodlaender is a full professor in the Department of Information and Computing Sciences and head of the research group Algorithms and Complexity. His research focuses on algorithms, particularly for graphs and networks, often concerning computational complexity.

Erik Jan van Leeuwen is an assistant professor in the Department of Information and Computing Sciences. His main research interest is to design efficient algorithms that make computational analysis of networks possible. He teaches a Master course on Network Science.


Network Science focuses on studying patterns of connection in a wide range of phenomena in the form of networks. Recently, Network Science has received considerable attention due to the widespread availability of (enormous) network data resources pertaining to various disciplines such as (system) biology, physics, economics, social and behavioural sciences, etc.

Using methods and tools in Physics, Statistics, Probability theory, Machine Learning, Graph theory, Algorithms, etc. Network science can help us address critical questions, such as how can networks help us understand and predict social systems? How to find essential individuals and communities? How to predict unobserved connections between genes? How to learn the dependencies between interrelated entities? How can we stop the disease from spreading in networks?

The SIG Network Science organises presentations, collaborations, discussions, workshops, and courses regarding Network Science and its application to a wide variety of topics.
Our goal is to familiarize researchers with the potential benefits of Network Science in their field and to connect Network Science experts with potential applications across different domains.


The SIG is open to all researchers at UU or UMCU who are interested in Network Science. If you would like to be updated about the activities of this SIG, please register for our newsletter.
Please contact us if you want to be part of our Teams group: Network Science, where we regularly discuss interesting topics and inform the team members about the SIG: Network Science activities.


Mahdi: m.shafieekamalabad@uu.nl
Javier: j.garciabernardo@uu.nl
Hans: H.L.Bodlaender@uu.nl
Erik Jan: e.j.vanleeuwen@uu.nl