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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/206969
Diffusion capacity of single and interconnected networks
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Understanding diffusive processes in networks is a significant challenge in complexity science. Networks possess a diffusive potential that depends on their topological configuration, but diffusion also relies on the process and initial conditions. This article presents Diffusion Capacity, a concept that measures a node's potential to diffuse information based on a distance distribution that considers both geodesic and weighted shortest paths and dynamical features of the diffusion process. Diffusion Capacity thoroughly describes the role of individual nodes during a diffusion process and can identify structural modifications that may improve diffusion mechanisms. The article defines Diffusion Capacity for interconnected networks and introduces Relative Gain, which compares the performance of a node in a single structure versus an interconnected one. The method applies to a global climate network constructed from surface air temperature data, revealing a significant change in diffusion capacity around the year 2000, suggesting a loss of the planet's diffusion capacity that could contribute to the emergence of more frequent climatic events.
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SCHIEBER, Tiago A., et al. Diffusion capacity of single and interconnected networks. Nature Communications. 2023. Vol. 14, num. 19. ISSN 2041-1723. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/206969