Network Theory
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
Empirical Networks are Sparse: Enhancing Multi-Edge Models with Zero-Inflation
arXiv Preprint - 2024
![](https://www.sg.ethz.ch/publications/2024/casiraghi2024sparse/sparsegraph_hued73241113957122c2d9e1459f33e651_2052950_200x200_fill_box_center_3.png)
Disentangling the Timescales of a Complex System: A Bayesian Approach to Temporal Network Analysis
ArXiv Preprint - 2024
![](https://www.sg.ethz.ch/publications/2024/casiraghi2024timescales/00_fig1_data_hue76e4387df5de63d7d24698193e75ab6_237618_200x200_fill_box_center_3.png)
Reconstructing signed relations from interaction data
Scientific Reports - 2023
![](https://www.sg.ethz.ch/publications/2022/andres2022reconstructing-signed-relations/results_hu350d3f01aafcc446c667297c85d71654_1880030_200x200_fill_box_center_3.png)
Predicting variable-length paths in networked systems using multi-order generative models.
Applied Network Science - 2023
![](https://www.sg.ethz.ch/publications/2020/gote2020predicting-sequences-of/gote2020predicting_hu9e63090a741b9cdf54ec09a012ac5953_22781_200x200_fill_box_center_3.png)
Modeling the impact of environmental consciousness on the supply-demand relationship between firms and customers
Available at SSRN 4403242 - 2023
![](https://www.sg.ethz.ch/publications/2023/wang4403242modeling/tw_hub15ff0fefe078963baf42dc2a152511c_295308_200x200_fill_box_center_3.png)
Fragmentation from group interactions: A higher-order adaptive voter model
Physica A: Statistical Mechanics and its Applications - 2023
![](https://www.sg.ethz.ch/publications/2023/papanikolaou2023fragmentation/hyperedge_newfont_hud6b595e6d89f23dcdaee9bcde39f2aa3_48551_200x200_fill_box_center_3.png)
Consensus from group interactions: An adaptive voter model on hypergraphs
Physical Review E - 2022
![](https://www.sg.ethz.ch/publications/2022/papanikolaou2022consensus-from-group/magnetization_hu7accf6d0c9a0c5f0c03ad01d0b845029_72969_200x200_fill_box_center_3.png)
Configuration models as an urn problem
Scientific Reports 11, 13416 - 2021
![](https://www.sg.ethz.ch/publications/2018/casiraghi2018generalised-hypergeometric-ensembles/DpnHjjSX4AAEK9f_hu9d739874e217aa25a127722cf7c140d0_60007_200x200_fill_q75_box_center.jpg)
The likelihood-ratio test for multi-edge network models
J. Phys. Complex. 2 035012 - 2021
![](https://www.sg.ethz.ch/publications/2021/casiraghi2021the-likelihoodratio-test/distributions_huf603faada49609c0ceb47257391b8350_34703_200x200_fill_box_center_3.png)
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
Proceedings of the 2020 SIAM International Conference on Data Mining - 2020
![](https://www.sg.ethz.ch/publications/2020/larock2020hypa-efficient-detection/nanumyan_hu6d8049127d4b5dfac1e349852a68c403_19252_200x200_fill_box_center_3.png)
The block-constrained configuration model
Applied Network Science - 2019
![](https://www.sg.ethz.ch/publications/2019/casiraghi2019the-block-constrained-configuration/omegaBlock_hu3eb2630a6355c537b6649bf58a760938_113967_200x200_fill_box_center_3.png)
What is the Entropy of a Social Organization?
Entropy - 2019
![](https://www.sg.ethz.ch/publications/2019/zingg2019what-is-the/karate-club_thum_hu4b17f1a6852f31891dbf01743bef8fbe_81689_200x200_fill_q75_box_center.jpeg)
Quantifying Triadic Closure in Multi-Edge Social Networks
ACM - 2019
![](https://www.sg.ethz.ch/publications/2019/brandenberger2019quantifying-triadic-closure/triad_hua97c1c0a35d9ae4d43ca1bd2ab12c8e6_85147_200x200_fill_box_center_3.png)
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
![](https://www.sg.ethz.ch/publications/2017/casiraghi2017from-relational-data/relationaltographs_hueae535ea3f77db0d4b06d134bd669f1f_106778_200x200_fill_box_center_3.png)
Multiplex Network Regression: How do relations drive interactions?
arXiv e-print - 2017
![](https://www.sg.ethz.ch/publications/2017/casiraghi2017multiplex-network-regression/triplex_hu1452ecbfea0e36bff9ad87269693c4b3_246653_200x200_fill_box_center_3.png)
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks
ArXiv e-prints - 2016
![](https://www.sg.ethz.ch/publications/2016/casiraghi2016generalized-hypergeometric-ensembles/karate_hu6f40d5f1814d04f3236fe2172c4e3bce_130608_200x200_fill_box_center_3.png)
Modeling evolving innovation networks
Innovation Networks . New Approaches in Modelling and Analyzing - 2009
![](https://www.sg.ethz.ch/publications/2009/koenig2009modeling-evolving-innovation/innovation_hu28a454ed950e89d175707b932c146353_19418_200x200_fill_box_center_3.png)
From Graph Theory to Models of Economic Networks. A Tutorial
Networks, Topology and Dynamics: Theory and Applications to Economics and Social Systems - 2009
![](https://www.sg.ethz.ch/publications/2009/koenig2009from-graph-theory/graphs_to_economics_hu23d9b953dc684ab12c99d3cce6685bf1_60157_200x200_fill_box_center_3.png)
On Algebraic Graph Theory and the Dynamics of Innovation Networks
Networks and Heterogeneous Media - 2008
![](https://www.sg.ethz.ch/publications/2008/koenig2008on-algebraic-graph/algebraic_graph_hu0185a8cd650d21cbeef36a1bbaf0bc9a_73698_200x200_fill_box_center_3.png)