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• W2023361568 abstract "Human mobility and activity patterns mediate contagion on many levels, including the spatial spread of infectious diseases, diffusion of rumors, and emergence of consensus. These patterns however are often dominated by specific locations and recurrent flows and poorly modeled by the random diffusive dynamics generally used to study them. Here we develop a theoretical framework to analyze contagion within a network of locations where individuals recall their geographic origins. We find a phase transition between a regime in which the contagion affects a large fraction of the system and one in which only a small fraction is affected. This transition cannot be uncovered by continuous deterministic models due to the stochastic features of the contagion process and defines an invasion threshold that depends on mobility parameters, providing guidance for controlling contagion spread by constraining mobility processes. We recover the threshold behavior by analyzing diffusion processes mediated by real human commuting data." @default.
• W2023361568 created "2016-06-24" @default.
• W2023361568 creator A5042890616 @default.
• W2023361568 creator A5046546654 @default.
• W2023361568 date "2011-03-13" @default.
• W2023361568 modified "2023-10-14" @default.
• W2023361568 title "Phase transitions in contagion processes mediated by recurrent mobility patterns" @default.
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• W2023361568 doi "https://doi.org/10.1038/nphys1944" @default.
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• W2023361568 hasPublicationYear "2011" @default.
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