Finding Influential Spreaders from Human Activity beyond Network Location.

ABSTRACT: 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 information is demanded in order to provide an efficient immunization or spreading strategy, in a practical sense. In this study, we seek a possible way for finding influential spreaders by using the social mechanisms of how social connections are formed in real networks. We find that a reliable immuniz

SUBMITTER: Min B 

PROVIDER: S-EPMC4554996 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature