Contagion in simplicial complexes

  • Zhaoqing Li
  • , Zhenghong Deng
  • , Zhen Han
  • , Karin Alfaro-Bittner
  • , Baruch Barzel
  • , Stefano Boccaletti

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

The propagation of information in social, biological and technological systems represents a crucial component in their dynamic behavior. When limited to pairwise interactions, a rather firm grip is available on the relevant parameters and critical transitions of these spreading processes, most notably the pandemic transition, which indicates the conditions for the spread to cover a large fraction of the network. The challenge is that, in many relevant applications, the spread is driven by higher order relationships, in which several components undergo a group interaction. To address this, we analyze the spreading dynamics in a simplicial complex environment, designed to capture the coexistence of interactions of different orders. We find that, while pairwise interactions play a key role in the initial stages of the spread, once it gains coverage, higher order simplices take over and drive the contagion dynamics. The result is a distinctive spreading phase diagram, exhibiting a discontinuous pandemic transition, and hence offering a qualitative departure from the traditional network spreading dynamics.

Original languageEnglish
Article number111307
JournalChaos, Solitons and Fractals
Volume152
DOIs
StatePublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Funding

This research was supported by the Israel Science Foundation (grant No. 499/19 ) and by the US National Science Foundation-CRISP award no. 1735505.

FundersFunder number
US National Science Foundation-CRISP1735505
Israel Science Foundation499/19

    Keywords

    • Complex network
    • High-order interactions
    • SIS model

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