Understanding the influence of all nodes in a network

@inproceedings{Lawyer2015UnderstandingTI,
  title={Understanding the influence of all nodes in a network},
  author={Glenn Lawyer},
  booktitle={Scientific reports},
  year={2015}
}
Centrality measures such as the degree, k-shell, or eigenvalue centrality can identify a network's most influential nodes, but are rarely usefully accurate in quantifying the spreading power of the vast majority of nodes which are not highly influential. The spreading power of all network nodes is better explained by considering, from a continuous-time epidemiological perspective, the distribution of the force of infection each node generates. The resulting metric, the expected force… CONTINUE READING
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