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• W4382045701 abstract "Many empirical studies have revealed that the occurrences of contacts associated with human activities are non-Markovian temporal processes with a heavy tailed inter-event time distribution. Besides, there has been increasing empirical evidence that the infection and recovery rates are time-dependent. However, we lack a comprehensive framework to analyze and understand non-Markovian contact and spreading processes on temporal networks. In this paper, we propose a general formalism to study non-Markovian dynamics on non-Markovian temporal networks. We find that, under certain conditions, non-Markovian dynamics on temporal networks are equivalent to Markovian dynamics on static networks. Interestingly, this result is independent of the underlying network topology." @default.
• W4382045701 created "2023-06-27" @default.
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• W4382045701 date "2023-08-01" @default.
• W4382045701 modified "2023-10-15" @default.
• W4382045701 title "Non-Markovian epidemic spreading on temporal networks" @default.
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• W4382045701 doi "https://doi.org/10.1016/j.chaos.2023.113664" @default.
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