Abstract

Many collective phenomena such as epidemic spreading and cascading failures in socioeconomic systems on networks are caused by perturbations of the dynamics. How perturbations propagate through networks, impact and disrupt their functions may depend on the network, the type and location of the perturbation as well as the spreading dynamics. Previous work has analyzed the retardation effects of the nodes along the propagation paths, suggesting a few transient propagation "scaling” regimes as a function of the nodes’ degree, but regardless of motifs such as triangles. Yet, empirical networks consist of motifs enabling the proper functioning of the system. Here, we show that basic motifs along the propagation path jointly determine the previously proposed scaling regimes of distance-limited propagation and degree-limited propagation, or even cease their existence. Our results suggest a radical departure from these scaling regimes and provide a deeper understanding of the interplay of self-dynamics, interaction dynamics, and topological properties.

Spreading processes and cascading failures on complex networks are often triggered by external perturbations. The authors uncover the impact of network motifs on the processes of perturbations propagation through networks, and networks’ response dynamics.

Details

Title
Impact of basic network motifs on the collective response to perturbations
Author
Bao, Xiaoge 1   VIAFID ORCID Logo  ; Hu, Qitong 2 ; Ji, Peng 1   VIAFID ORCID Logo  ; Lin, Wei 3   VIAFID ORCID Logo  ; Kurths, Jürgen 4   VIAFID ORCID Logo  ; Nagler, Jan 5   VIAFID ORCID Logo 

 Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China (GRID:grid.419897.a) (ISNI:0000 0004 0369 313X); Fudan University, Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
 Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Shanghai Jiao Tong University, School of Mathematical Sciences, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
 Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China (GRID:grid.419897.a) (ISNI:0000 0004 0369 313X); Fudan University, Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Fudan University, School of Mathematical Sciences, SCMS, SCAM, and CCSB, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Fudan University, State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Shanghai Artificial Intelligence Laboratory, Shanghai, China (GRID:grid.8547.e) 
 Fudan University, Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031); Humboldt University, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639) 
 Frankfurt School of Finance & Management, Deep Dynamics, Frankfurt, Germany (GRID:grid.461612.6) (ISNI:0000 0004 0622 3862); Frankfurt School of Finance & Management, Centre for Human and Machine Intelligence, Frankfurt, Germany (GRID:grid.461612.6) (ISNI:0000 0004 0622 3862) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2711641164
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.