What is it about?
Studies have shown that network topology significantly affects the Turing pattern formation in a networked reaction–diffusion (RD) system. Clustering is a common occurrence in nature, such as animals gathering for food and humans coming together to travel, work and celebrate festivals. Yet, the assessment of its impact on pattern formation remains little known. This research qualitatively analyzes the impact of the clustering coefficient, a crucial topological property of networks, on networked pattern formation.
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Why is it important?
Studies have shown that network topology significantly affects the Turing pattern formation in a networked reaction–diffusion (RD) system. Clustering is a common occurrence in nature, such as animals gathering for food and humans coming together to travel, work and celebrate festivals. Yet, the assessment of its impact on pattern formation remains little known. This research qualitatively analyzes the impact of the clustering coefficient, a crucial topological property of networks, on networked pattern formation.
Perspectives
Studies have shown that network topology significantly affects the Turing pattern formation in a networked reaction–diffusion (RD) system. Clustering is a common occurrence in nature, such as animals gathering for food and humans coming together to travel, work and celebrate festivals. Yet, the assessment of its impact on pattern formation remains little known. This research qualitatively analyzes the impact of the clustering coefficient, a crucial topological property of networks, on networked pattern formation.
Xiaofeng Luo
North University of China
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This page is a summary of: The relationship between clustering and networked Turing patterns, Chaos An Interdisciplinary Journal of Nonlinear Science, July 2024, American Institute of Physics,
DOI: 10.1063/5.0195450.
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