Research

Circadian rhythms

We humans are phase-locked to the diurnal cycle: we sleep at night and are awake at day. Our rhythms of activity and their individual differences are well visible in the digital traces we leave behind in the online world.
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Community detection

Most networks are not homogenious, meaning that some sets of nodes are more connected among themselves than to the rest of the network. The aim of community detection is to study this meso-scale structure and devise algorithms that would identify these sets of nodes.
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Complex Social Dynamics in Networks

The main research objective is to form an integrated, multi-level view to the complex dynamics of human social interactions up to collective social dynamics.
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Functional brain networks

The functional brain network is constructed by thresholding the correlation matrix of voxel time series. Node definitions, coarse-graining, and spatial smoothing can affect the structure of the network.
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IBSEN: Individual Behavior to the Socio-tEchnical MaN

IBSEN will provide a breakthrough by building a repertoire of human behaviour in large (1000+ persons) structured groups using controlled experiments. To that end, we will develop a novel setup for large groups of people that will provide an experimental protocol, the necessary software and analytical tools to allow us to deal with thousands of people at the same time.
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Public transport networks

Public transport networks are fascinating as they are (1. Networks, 2. Multi-layered, 3. Evolving in time, 4. Embedded in space). In our current projects, we study how such networks look like across the world, and how their operation could be improved.
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RenewableReindeer

Network-based methods have recently become a popular tool in ecology for modeling animal movement and behavior in geographic landscapes. The RenewableReindeer project aims to develop this methodology to assess the functionality of wild reindeer habitats in Norway in order to guide decision making in the planning of hydropower infrastructures.
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Temporal and dynamic networks

Many natural and man-made networks are inherently dynamic – their configuration is under permanent change, and their links switch on and off driven by complex dynamics.
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