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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.… Click to show full 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.
Keywords:
bifurcations synergistic;
random regular;
regular graphs;
epidemics random;
synergistic epidemics
Journal Title: Journal of Physics A: Mathematical and Theoretical
Year Published: 2019
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Journal Title: Journal of Physics A: Mathematical and Theoretical
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!