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Identification of effective spreaders in contact networks using dynamical influence
2021
Applied Network Science
AbstractContact networks provide insights on disease spread due to the duration of close proximity interactions. For systems governed by consensus dynamics, network structure is key to optimising the spread of information. For disease spread over contact networks, the structure would be expected to be similarly influential. However, metrics that are essentially agnostic to the network's structure, such as weighted degree (strength) centrality and its variants, perform near-optimally in
doi:10.1007/s41109-021-00351-0
pmid:33490367
pmcid:PMC7814176
fatcat:vovzza6gevb6tkbceua3slutbq