Schieber, Tiago A.Carpi, LauraPardalos, Panos M.Masoller, CristinaDíaz Guilera, AlbertRavetti, Martín G.2024-02-012024-02-012023-04-182041-1723https://hdl.handle.net/2445/206969Understanding 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.1 p.application/pdfengcc-by (c) T.A. Schieber et al., 2023http://creativecommons.org/licenses/by/4.0/Física matemàticaProcessos de difusióMathematical physicsDiffusion processesinfo:eu-repo/semantics/article7394012024-02-01info:eu-repo/semantics/openAccess