Identification of influential spreaders in complex networks

被引：0
|
作者：
Maksim Kitsak
Lazaros K. Gallos
Shlomo Havlin
Fredrik Liljeros
Lev Muchnik
H. Eugene Stanley
Hernán A. Makse
机构：
[1] Boston University,Center for Polymer Studies and Physics Department
[2] Cooperative Association for Internet Data Analysis (CAIDA),Levich Institute and Physics Department
[3] University of California-San Diego,Minerva Center and Department of Physics
[4] City College of New York,Department of Sociology
[5] Bar-Ilan University,Operations and Management Sciences Department
[6] Stockholm University,undefined
[7] Information,undefined
[8] Stern School of Business,undefined
[9] New York University,undefined
来源：
Nature Physics | 2010年 / 6卷
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学科分类号：
摘要：
Spreading of information, ideas or diseases can be conveniently modelled in the context of complex networks. An analysis now reveals that the most efficient spreaders are not always necessarily the most connected agents in a network. Instead, the position of an agent relative to the hierarchical topological organization of the network might be as important as its connectivity.
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页码：888 / 893
页数：5
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