Large epidemic thresholds emerge in heterogeneous networks of heterogeneous nodes

@article{Yang2015LargeET,
  title={Large epidemic thresholds emerge in heterogeneous networks of heterogeneous nodes},
  author={Hui Yang and Ming Tang and Thilo Gross},
  journal={Scientific Reports},
  year={2015},
  volume={5}
}
One of the famous results of network science states that networks with heterogeneous connectivity are more susceptible to epidemic spreading than their more homogeneous counterparts. In particular, in networks of identical nodes it has been shown that network heterogeneity, i.e. a broad degree distribution, can lower the epidemic threshold at which epidemics can invade the system. Network heterogeneity can thus allow diseases with lower transmission probabilities to persist and spread. However… Expand
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  • Hui Yang
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  • 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
  • 2016
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