作者: Ying Liu , Ming Tang , Tao Zhou , Younghae Do
DOI: 10.1038/SREP09602
关键词:
摘要: Identifying the most influential spreaders is an important issue in understanding and controlling spreading processes on complex networks. Recent studies showed that nodes located core of a network as identified by k-shell decomposition are spreaders. However, through great deal numerical simulations, we observe not all real networks do high shells very influential: some which call true core, while others shells, even innermost good core-like group. By analyzing k-core structure networks, find links diversely to network, group locally within For group, index cannot reflect their location importance network. We further introduce measure based link diversity effectively distinguish identify groups throughout Our findings help better understand structural features nodes.