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Emerging Trends in Complex Systems

Guest Editors:
Roberto Interdonato: CIRAD, Montpellier, France
Cyrille Bertelle: University Le Havre, Normandie, France
Christophe Cruz: Université de Bourgogne, Dijon, France
Yoann Pigné: University Le Havre, Normandie, France

Submission Status: Closed | Submission Deadline: Closed


This collection is no longer accepting submissions


Applied Network Science is calling for submissions to our Collection on Emerging Trends in Complex Systems.

This topical issue aims at bringing together the scientific community working in complex systems. Researchers from various disciplines supporting interdisciplinary exchanges to are expected to contribute to this call (archaeology, biology, computer science, economics, geography, history, linguistics, management, mathematics, medicine, physics, statistics, sociology etc.). 

Applied Network Science is calling for submissions to our Collection on Emerging Trends in Complex Systems.

This topical issue aims at bringing together the scientific community working in complex systems. Researchers from various disciplines supporting interdisciplinary exchanges to are expected to contribute to this call (archaeology, biology, computer science, economics, geography, history, linguistics, management, mathematics, medicine, physics, statistics, sociology etc.). This is an opportunity to promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the perspective of complexity science.

  3. With real-world network systems typically comprising a large number of interactive components and inherently dynamic, Graph Continual Learning (GCL) has gained increasing popularity in recent years. Furthermor...

    Authors: Liliana Martirano, Dino Ienco, Roberto Interdonato and Andrea Tagarelli
    Citation: Applied Network Science 2024 9:30
    Content type: Research Published on:

  4. In this work, we investigate the analysis of generators for dynamic graphs, which are defined as graphs whose topology changes over time. We focus on generated graphs whose order (number of nodes) varies over ...

    Authors: Vincent Bridonneau, Frédéric Guinand and Yoann Pigné
    Citation: Applied Network Science 2024 9:21
    Content type: Research Published on:

  5. Reconstructing dynamics of complex systems from sparse, incomplete time series data is a challenging problem with applications in various domains. Here, we develop an iterative heuristic method to infer the un...

    Authors: Zhongqi Cai, Enrico Gerding and Markus Brede
    Citation: Applied Network Science 2024 9:13
    Content type: Research Published on:

  9. In recent years, Artificial Intelligence (AI) shows a spectacular ability of insertion inside a variety of disciplines which use it for scientific advancements and which sometimes improve it for their conceptu...

    Authors: Sylvain Fontaine, Floriana Gargiulo, Michel Dubois and Paola Tubaro
    Citation: Applied Network Science 2024 9:8
    Content type: Research Published on: