A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Finding Influential Spreaders from Human Activity beyond Network Location
2015
PLoS ONE
Most centralities proposed for identifying influential spreaders on social networks to either spread a message or to stop an epidemic require the full topological information of the network on which spreading occurs. In practice, however, collecting all connections between agents in social networks can be hardly achieved. As a result, such metrics could be difficult to apply to real social networks. Consequently, a new approach for identifying influential people without the explicit network
doi:10.1371/journal.pone.0136831
pmid:26323015
pmcid:PMC4554996
fatcat:daweenexh5gaboxqahq35guyvm