Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic

Qu, B.; Li, C.; Van Mieghem, P.F.A.; Wang, H.

doi:10.1038/s41598-017-08611-9

Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic

Title

Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic

Author

Qu, B. (TU Delft Multimedia Computing)
Li, C. (Fudan University)
Van Mieghem, P.F.A. (TU Delft Network Architectures and Services)
Wang, H. (TU Delft Multimedia Computing)

Date

2017

Abstract

The prevalence, which is the average fraction of infected nodes, has been studied to evaluate the robustness of a network subject to the spread of epidemics. We explore the vulnerability (infection probability) of each node in the metastable state with a given effective infection rate τ. Specifically, we investigate the ranking of the nodal vulnerability subject to a susceptible-infected-susceptible epidemic, motivated by the fact that the ranking can be crucial for a network operator to assess which nodes are more vulnerable. Via both theoretical and numerical approaches, we unveil that the ranking of nodal vulnerability tends to change more significantly as τ varies when τ is smaller or in Barabási-Albert than Erdos-Rényi random graphs.

Subject

Complex networks
Statistical physics

To reference this document use:

http://resolver.tudelft.nl/uuid:551f9723-8397-4ef8-8a89-36bdd422d270

DOI

https://doi.org/10.1038/s41598-017-08611-9

ISSN

2045-2322

Source

Scientific Reports, 7, 1-10

Part of collection

Institutional Repository