Published July 20, 2021 | Version v2

Data of "Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics"

Authors/Creators

  • 1. Complexity Science Hub Vienna

Description

The data reported in the paper: Sajjadi et al. (2021) Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics. PLoS ONE 16(7): e0253563. https://doi.org/10.1371/journal.pone.0253563
Each directory contains the data illustrated in one figure. The data structure and properties are described in .info files within each directory.


All the simulations, analyses and illustrations have been conducted via the Epyc package (written in C++ and Python), developed by Sina Sajjadi. Epyc is available under GPLv3, at https://github.com/Sepante/Epyc.

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Related works

Is supplement to
Journal article: 10.1371/journal.pone.0253563 (DOI)
Preprint: arXiv:2003.01268 (arXiv)
Software: https://github.com/Sepante/Epyc (URL)