Contagion in simplicial complexes

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

Research output: Contribution to journalArticlepeer-review

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

Keywords

  • Complex network
  • High-order interactions
  • SIS model

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Statistical and Nonlinear Physics
  • General Physics and Astronomy
  • Mathematical Physics

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