Scope of the workshop

Traditionally, complex systems have been successfully studied through graphs abstracting the underlying relations with vertices and edges connecting pairs of interacting components. Yet, many real-world systems are characterized by group interactions that cannot be described simply in terms of dyads. Studying such systems requires new mathematical frameworks and scientific methodologies for its investigation. Hypergraphs are the perfect candidates to tackle this task, as these structures are a generalization of graphs where a (hyper)edge allows the connection of an arbitrary number of vertices. However, the powerful expressiveness of hypergraphs has a few drawbacks: dealing with the complexity of such data structures and the need for appropriate tools and algorithms for their study.

Given the considerable potential and the growing interest of the research community in overcoming the challenges of exploiting hypergraphs and, more generally, high-order networks to unravel real-world group dynamics, we introduce the 1st Workshop on Theory and Applications of Hypernetwork Science (HyperSCI). The goal of this workshop is to focus the attention of the research community on addressing the open questions and challenges in this thriving research area. The workshop will welcome methodological contributions as well as applications to real-world problems, tool implementations, and the development of reference hypergraphs that can serve as test beds. We believe that instantiating one of the first workshops on hypernetwork science will inspire the community to share new ideas and development, addressing well-known challenges and identifying new ones.

Topics of Interest

Possible topics of interest are, but are NOT limited to: 

• Theoretical Aspects of Hypernetwork Science
• Hypergraph Algorithms and Measures
• Multidimensional and Temporal Hypernetworks
• Dynamics on and of Hypernetworks
• Static and dynamic Hypernetwork clustering/community discovery
• Hypergraph representation learning
• Mining and learning in hypergraphs with missing information and noise
• (Large-scale) Hypergraph visualization
• Computational Tools and Libraries for Hypernetwork Science
• Deep learning for Web hypergraphs
• Online Social Hypernetwork Mining and Analysis
• Applied Hypernetwork Science (cognition, economics, biology and medicine, engineering, etc.)

Submission Guidelines

Authors are invited to submit their manuscripts in PDF via the EasyChair system at the link: https://easychair.org/conferences/?conf=hydra2024.

The workshop welcomes both full and short papers, as well as extended abstracts. Authors are invited to submit original works which have not been published elsewhere and which are not currently under consideration for another journal, conference, or workshop.

All submissions must be in PDF format, written in English, and formatted according to the IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html). Full papers should not exceed 8 pages (including bibliography); short, position, and discussion papers should not exceed 5 pages (including bibliography). Extended abstracts should not exceed 2 pages. To ease the reviewing process, the authors of full papers may add an appendix (although reviewers are not required to consider it in their evaluation).

Proceedings and post-Proceedings

The workshop proceedings will be published on CEUR-WS.org. If a sufficient number of high-quality papers are accepted, Chairs will consider the publication of a selection on an international journal special issue. Non-original communications will be given visibility on the workshop website including a link to the original publication, if already published.

Important Dates

• Paper submission: June 30, 2024 (23:59 AoE)

• Authors notification: July 10, 2024

• Camera-Ready copy due: July 18, 2024 (23:59 AoE)

• Workshop day: September, 2–5 2024 (TBA)

Committees

Workshop Co-Chairs

• Alessia Antelmi, University of Torino, Italy
• Andrea Failla, University of Pisa, Italy

Program Chairs

• Francesco Cauteruccio, University of Salerno, Italy
• Gennaro Cordasco, University of Campania “Luigi Vanvitelli, Italy
• Mirko Polato, University of Torino, Italy
• Giulio Rossetti, ISTI-CNR, Italy
• Carmine Spagnuolo, University of Salerno, Italy

Program Committee

• Giuseppe Agapito, University Magna Græcia Catanzaro, Italy
• Vincenzo Auletta, University of Salerno, Italy
• Lucia Cavallaro, Radboud University, the Netherlands
• Salvatore Citraro, ISTI-CNR, Italy
• Enrico Corradini, Polytechnic University of Marche, Italy
• Diodato Ferraioli, University of Salerno, Italy
• Antonio Liotta, Free University of Bozen-Bolzano, Italy
• Giorgio Terracina, University of Calabria, Italy
• Luca Virgili, Polytechnic University of Marche, Italy

Venue

The workshop is co-located with the 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024).