Bursty Communication Patterns Facilitate Spreading in a Threshold-Based Epidemic Dynamics

Taro Takaguchi, Naoki Masuda, Petter Holme

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

Abstract

Records of social interactions provide us with new sources of data for understanding how interaction patterns affect collective dynamics. Such human activity patterns are often bursty, i.e., they consist of short periods of intense activity followed by long periods of silence. This burstiness has been shown to affect spreading phenomena; it accelerates epidemic spreading in some cases and slows it down in other cases. We investigate a model of history-dependent contagion. In our model, repeated interactions between susceptible and infected individuals in a short period of time is needed for a susceptible individual to contract infection. We carry out numerical simulations on real temporal network data to find that bursty activity patterns facilitate epidemic spreading in our model.

Original languageEnglish
Article numbere68629
JournalPloS one
Volume8
Issue number7
DOIs
Publication statusPublished - 2013 Jul 19
Externally publishedYes

ASJC Scopus subject areas

  • General

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