Focus on the disruption of networks and system dynamics

Author:

Ji Peng123ORCID,Nagler Jan45ORCID,Perc Matjaž6789ORCID,Small Michael110ORCID,Xiao Jinghua1ORCID

Affiliation:

1. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University 1 , Shanghai 200433, China

2. Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education 2 , Shanghai 200433, China

3. State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University 3 , Shanghai 200433, China

4. Deep Dynamics, Frankfurt School of Finance & Management 4 , Frankfurt, Germany

5. Centre for Human and Machine Intelligence, Frankfurt School of Finance & Management 5 , Frankfurt, Germany

6. Faculty of Natural Sciences and Mathematics, University of Maribor 6 , Korosška cesta 160, 2000 Maribor, Slovenia

7. Community Healthcare Center Dr. Adolf Drolc Maribor 7 , Vošnjakova ulica 2, 2000 Maribor, Slovenia

8. Complexity Science Hub Vienna 8 , Josefstädterstraße 39, 1080 Vienna, Austria

9. Department of Physics, Kyung Hee University 9 , 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea

10. The Complex Systems Group, Department of Mathematics and Statistics, The University of Western Australia 10 , Perth, Western Australia, Australia

Abstract

Networks are designed to ensure proper functioning and sustained operability of the underlying systems. However, disruptions are generally unavoidable. Internal interactions and external environmental effects can lead to the removal of nodes or edges, resulting in unexpected collective behavior. For instance, a single failing node or removed edge may trigger a cascading failure in an electric power grid. This Focus Issue delves into recent advances in understanding the impacts of disruptions on networks and their system dynamics. The central theme is the disruption of networks and their dynamics from the perspectives of both data-driven analysis as well as modeling. Topics covered include disruptions in the dynamics of empirical systems such as nuclear reaction networks, infrastructure networks, social networks, epidemics, brain dynamics, and physiology. Emphasis is placed on various phenomena in collective behavior, including critical phase transitions, irregular collective dynamics, complex patterns of synchrony and asynchrony, chimera states, and anomalous oscillations. The tools used for these studies include control theory, diffusion processes, stochastic processes, and network theory. This collection offers an exciting addition to the evolving landscape of network disruption research.

Publisher

AIP Publishing

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