For many system in statistical physics the microcanonical and canonical ensemble are equivalent in the thermodynamic limit, but not for all.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

‘It has never been so easy to set up a Studium Generale series.’ With these words Tilman Grünewald thanked speaker Frank den Hollander, who kicked off the Studium Generale series on complex networks on Monday 20 February.

This dissertation consists of two parts, with the common theme

NETWORKS, a new consortium of 11 researchers from the University of Amsterdam, Technical University Eindhoven, Leiden University and CWI aims to address the pressing challenges posed by large-scale networks using stochastics and algorithms.

Professor Frank den Hollander has been awarded a 10-year grant through the NWO Gravitation program, jointly with colleagues from the University of Amsterdam, the Center for Mathematics and Computer Science in Amsterdam, and the Technical University of Eindhoven.

Scientists often need to make sense of complex systems without knowing the important parameters or even without access to all the information. A collaboration of network theorists, including Diego Garlaschelli (IMT Lucca/Leiden), has now published a review article in the inaugural issue of Nature Reviews…

Frank den Hollander has received the Humboldt Research Award of €60,000. He was nominated by two German colleagues with whom he is working together for an extensive period of time. ‘The award was a complete surprise to me.'

The financial sector, supply chains and ecology. Not necessarily topics you might associate with physics, yet it’s exactly what new professor Diego Garlaschelli is dealing with. The common thread? Complex networks.

Imagine getting a notification on your mobile phone with your personal code for impending mental health problems or even depression: yellow, orange, or red. Science fiction? Not for scientist Eiko Fried. 'There is a real chance we can prevent some mental health problems before they occur.' Want to participate…