Welcome!
Networks have become one of the principal tools researchers use to model and analyse complex biological, technological and sociological systems. Networks abstract binary relations into graphs, i.e. nodes with dyadic relationships, and consequently fail to capture higher-order dependencies present in many real world complex systems. For example, collaborations between researchers cannot merely be modelled as dyadic links, but instead require simplicial complex, manifolds, or hypergraph representations. Moreover, the dynamics in a social network are determined not just by the pairwise relationships of its members but also by complex peer influence and reinforcement mechanisms.
Over the past years, researchers in network science have shown that higher-order structures and dependencies can fundamentally change the importance of nodes captured by centrality measures, affect cluster and community structures in networked systems, and influence dynamical processes in non-trivial ways.
Building on this body of work on higher-order modelling techniques, the past editions of HONS have been a unique forum for researchers who are interested in understanding the effects of higher order structures and ways of incorporating them into models and representations of complex systems. Continuing this successful tradition, this year's HONS will have a thematic focus on challenges and opportunities posed by representations of higher-order relational data and applications in machine learning and provide a forum to exchange ideas and questions such as:
- - How can we extract higher-order representations from data?
- - How can we select optimal higher-order representations and models for a given data set?
- - When and how do different types of higher order interactions influence network dynamics?
- - What are potential applications of higher-order networks in machine learning?
We look forward to seeing you at the HONS satellite!
Date and Venue
The satellite will be held on July 14 and 15 (14:00-18:00 CET). This year's satellite will be held online due to ongoing COVID restrictions.