Networks provide an optimal representation for complex systems. As different systems and different scientific questions require different approaches to be answered, we constantly develop network based methods to suit our needs.
Check back here regularly, for updates on the project, insights into how we extract the data and our most recent findings.
Consensus from group interactions: An adaptive voter model on hypergraphs
Physical Review E - 2022
Configuration models as an urn problem
Scientific Reports 11, 13416 - 2021
The likelihood-ratio test for multi-edge network models
J. Phys. Complex. 2 035012 - 2021
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
arXiv preprint arXiv:2007.06662 - 2020
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
Proceedings of the 2020 SIAM International Conference on Data Mining - 2020
The block-constrained configuration model
Applied Network Science - 2019
What is the Entropy of a Social Organization?
Entropy - 2019
Quantifying Triadic Closure in Multi-Edge Social Networks
ACM - 2019
From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles
Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK, September 13-15, 2017, Proceedings, Part II - 2017
Multiplex Network Regression: How do relations drive interactions?
arXiv e-print - 2017
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks
ArXiv e-prints - 2016
Modeling evolving innovation networks
Innovation Networks . New Approaches in Modelling and Analyzing - 2009
From Graph Theory to Models of Economic Networks. A Tutorial
Networks, Topology and Dynamics: Theory and Applications to Economics and Social Systems - 2009
On Algebraic Graph Theory and the Dynamics of Innovation Networks
Networks and Heterogeneous Media - 2008