Epidemic centrality — is there an underestimated epidemic impact of network peripheral nodes?

@article{iki2013EpidemicC,
  title={Epidemic centrality — is there an underestimated epidemic impact of network peripheral nodes?},
  author={Mile {\vS}iki{\'c} and Alen Lancic and Nino Antulov-Fantulin and Hrvoje Stefancic},
  journal={The European Physical Journal B},
  year={2013},
  volume={86},
  pages={1-13}
}
  • Mile Šikić, Alen Lancic, +1 author Hrvoje Stefancic
  • Published 2013
  • Physics, Computer Science, Biology
  • The European Physical Journal B
  • AbstractIn the study of disease spreading on empirical complex networks in SIR model, initially infected nodes can be ranked according to some measure of their epidemic impact. The highest ranked nodes, also referred to as “superspreaders”, are associated to dominant epidemic risks and therefore deserve special attention. In simulations on studied empirical complex networks, it is shown that the ranking depends on the dynamical regime of the disease spreading. A possible mechanism leading to… CONTINUE READING

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 23 CITATIONS

    Numerical investigation of metrics for epidemic processes on graphs

    Understanding the influence of all nodes in a network

    • Glenn Lawyer
    • Medicine, Computer Science
    • Scientific reports
    • 2015

    Benchmarking Measures of Network Influence

    The dynamic importance of nodes is poorly predicted by static topological features

    VIEW 4 EXCERPTS
    CITES BACKGROUND
    HIGHLY INFLUENCED

    FILTER CITATIONS BY YEAR

    2015
    2019

    CITATION STATISTICS

    • 1 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 58 REFERENCES

    Epidemic thresholds in dynamic contact networks

    The role of the airline transportation network in the prediction and predictability of global epidemics