• 26109041

    Final published version, 1.5 MB, PDF document


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.

Original languageEnglish
Article number9233
Pages (from-to)1-10
Number of pages10
JournalScientific Reports
Publication statusPublished - 2017

    Research areas

  • Complex networks, Statistical physics

ID: 26109041