Small inter-event times govern epidemic spreading on networks

Naoki Masuda*, Petter Holme

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Many aspects of human and animal interaction, such as the frequency of contacts of an individual, the number of interaction partners, and the time between the contacts of two individuals, are characterized by heavy-tailed distributions. These distributions affect the spreading of, e.g., infectious diseases or rumors, often because of impacts of the right tail of the distributions (i.e., the large values). In this paper we show that when it comes to inter-event time distributions, it is not the tail but the small values that control spreading dynamics. We investigate this effect both analytically and numerically for different versions of the susceptible-infected-recovered model on different types of networks.

Original languageEnglish
Article number023163
JournalPhysical Review Research
Volume2
Issue number2
DOIs
Publication statusPublished - 2020 May
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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