Cherifi / Guillaume / Melançon Proceedings of The Fifth France's International Conference on Complex Systems (FRCCS 2025)

Advances in Complex Systems Science, Machine Learning, and Interdisciplinary Applications
1. Auflage 2025
ISBN: 978-3-032-00206-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 282 Seiten

Reihe: Engineering

This volume gathers the peer-reviewed proceedings of the Fifth France's International Conference on Complex Systems (FRCCS 2025), held in Bordeaux, France. FRCCS has become a key interdisciplinary venue for researchers and practitioners exploring the theory, modeling, and applications of complex systems.
The book covers a broad range of topics, including network science, dynamical systems, data mining, machine learning, computational social science, and complex urban and biological systems. Contributions highlight both theoretical advances and innovative applications across scientific, industrial, and societal contexts.
This collection will be a valuable reference for academics, engineers, and professionals working to understand, model, and manage complexity in real-world systems.

Zielgruppe

Research

Autoren/Hrsg.

Cherifi, Hocine

Guillaume, Jean-Loup

Melançon, Guy

Pinaud, Bruno

Inhaltsverzeichnis

Foundations of Complex Systems.- Complex Networks.- Engineering Systems and Systems of Systems.- Social Complexity.

Über Autor(innen)

Hocine Cherifi is a Professor at the University of Burgundy, France. His research interests span complex networks, explainable AI, and complex systems science. He is the Editor-in-Chief of PLOS Complex Systems and has been actively fostering the global complex systems community.

Jean-Loup Guillaume is Professor at Université de La Rochelle, France. His work focuses on network science, graph theory, and applications of complex systems in computational and data-driven domains.

Guy Melançon is Professor at Université de Bordeaux, France. He conducts research in network visualization, complex data analysis, and the development of methodologies for exploring large-scale complex systems.

Bruno Pinaud is a Professor at Université de Bordeaux and a researcher at LaBRI. His work centers on data mining, network analysis, and the design of interactive tools for understanding complex data.