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 language | English |
|---|---|
| Article number | 111307 |
| Journal | Chaos, Solitons and Fractals |
| Volume | 152 |
| DOIs | |
| State | Published - 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.
| Funders | Funder number |
|---|---|
| US National Science Foundation-CRISP | 1735505 |
| Israel Science Foundation | 499/19 |
Keywords
- Complex network
- High-order interactions
- SIS model
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