Fragmenting networks by targeting collective influencers at a mesoscopic level

@article{Kobayashi2016FragmentingNB,
  title={Fragmenting networks by targeting collective influencers at a mesoscopic level},
  author={Teruyoshi Kobayashi and Naoki Masuda},
  journal={Scientific Reports},
  year={2016},
  volume={6}
}
A practical approach to protecting networks against epidemic processes such as spreading of infectious diseases, malware, and harmful viral information is to remove some influential nodes beforehand to fragment the network into small components. Because determining the optimal order to remove nodes is a computationally hard problem, various approximate algorithms have been proposed to efficiently fragment networks by sequential node removal. Morone and Makse proposed an algorithm employing the… 
6 Citations
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