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.

Related Publications

Disentangling the Timescales of a Complex System: A Bayesian Approach to Temporal Network Analysis

ArXiv Preprint - 2024

Giona Casiraghi and Georges Andres

Reconstructing signed relations from interaction data

Scientific Reports - 2023

Georges Andres, Giona Casiraghi, Giacomo Vaccario and Frank Schweitzer

Predicting variable-length paths in networked systems using multi-order generative models.

Applied Network Science - 2023

Christoph Gote, Giona Casiraghi, Frank Schweitzer and Ingo Scholtes

Modeling the impact of environmental consciousness on the supply-demand relationship between firms and customers

Available at SSRN 4403242 - 2023

Tianyuan Wang, Giacomo Vaccario and Frank Schweitzer

Fragmentation from group interactions: A higher-order adaptive voter model

Physica A: Statistical Mechanics and its Applications - 2023

Nikos Papanikolaou, Renaud Lambiotte and Giacomo Vaccario

Consensus from group interactions: An adaptive voter model on hypergraphs

Physical Review E - 2022

Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann, Renaud Lambiotte and Frank Schweitzer

Configuration models as an urn problem

Scientific Reports 11, 13416 - 2021

Giona Casiraghi and Vahan Nanumyan

The likelihood-ratio test for multi-edge network models

J. Phys. Complex. 2 035012 - 2021

Giona Casiraghi

HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks

Proceedings of the 2020 SIAM International Conference on Data Mining - 2020

Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi - Rad and Frank Schweitzer

The block-constrained configuration model

Applied Network Science - 2019

Giona Casiraghi

What is the Entropy of a Social Organization?

Entropy - 2019

Christian Zingg, Giona Casiraghi, Giacomo Vaccario and Frank Schweitzer

Quantifying Triadic Closure in Multi-Edge Social Networks

ACM - 2019

Laurence Brandenberger, Giona Casiraghi, Vahan Nanumyan and Frank Schweitzer

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

Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes and Frank Schweitzer

Multiplex Network Regression: How do relations drive interactions?

arXiv e-print - 2017

Giona Casiraghi

Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks

ArXiv e-prints - 2016

Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes and Frank Schweitzer

Modeling evolving innovation networks

Innovation Networks . New Approaches in Modelling and Analyzing - 2009

Michael D Koenig, Stefano Battiston and Frank Schweitzer

From Graph Theory to Models of Economic Networks. A Tutorial

Networks, Topology and Dynamics: Theory and Applications to Economics and Social Systems - 2009

Michael D Koenig and Stefano Battiston

On Algebraic Graph Theory and the Dynamics of Innovation Networks

Networks and Heterogeneous Media - 2008

Michael D Koenig, Stefano Battiston, Mauro Napoletano and Frank Schweitzer