Network motifs, recurrent local patterns of interactions in graphs, provide fundamental insights on the interplay between structure and functionality in complex systems. Many real-world systems are no...

Abstract. The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and

Information theoretic principles are used to derive a hierarchy of hypergraph similarity measures.

We are seeking a highly motivated PhD student to join our Quantitative Network Science research group at the Department of Mathematical Modeling and Machine Learning at the University of Zurich. Wild ...

When organizations need to assign people to projects, they face a fundamental challenge: how can they form teams that continue to function if someone becomes sick, leaves the company, or is otherwise ...

A recent study shows that neural symbolic regression offers a route to automated discovery of governing equations for network dynamics across high-dimensional complex systems.

HIF: The hypergraph interchange format for higher-order networks - Volume 13

Understanding cooperation in social dilemmas requires models that capture the complexity of real-world interactions. While network frameworks have provided valuable insights to model the evolution of ...

The highlights include but are not limited to the research areas of electronics, optoelectronics, computing technologies and theories, soft matter physics, ...

Panel discussion on “Science as a craft, Balancing career and skill progression” at NetSci25.

Panel discussion on “Science as a craft, Balancing career and skill progression” at NetSci25.

Panel discussion on "Science as a craft, Balancing career and skill progression" at NetSci25.

NetPlace is organizing an in-person workshop on **Networks & Physic**, with a focus on a collabothon. Registration deadline: **9th May 2025**

NetPlace is organizing an in-person workshop on **Networks & Physic**, with a focus on a collabothon.