Work

Bifurcations in synergistic epidemics on random regular graphs

Year: 2019

Type: article

Abstract: The role of cooperative effects (i.e. synergy) in transmission of infection is investigated analytically and numerically for epidemics following the rules of susceptible-infected-susceptible (SIS) model defined on random regular graphs. Non-linear dynamics are shown to lead to bifurcation diagrams for such spreading phenomena exhibiting three distinct regimes: non-active, active and bi-stable. The dependence of bifurcation loci on node degree is studied and interesting effects are found that contrast with the behaviour expected for non-synergistic epidemics.

Source: Journal of Physics A Mathematical and Theoretical

DOI: 10.1088/1751-8121/ab1441

Authors: S N Taraskin, F J Pérez-Reche

Institutions: University of Cambridge, University of Aberdeen

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funder: Carnegie Trust for the Universities of Scotland

Award: G5548300776