中间性中心性
中心性
群众
社会网络分析
鉴定(生物学)
复杂网络
芯(光纤)
数据科学
计算机科学
网络分析
物理
理论计算机科学
生物
万维网
社会化媒体
电信
生态学
组合数学
哲学
认识论
量子力学
数学
作者
Maksim Kitsak,Lazaros K. Gallos,Shlomo Havlin,Fredrik Liljeros,Lev Muchnik,H. Eugene Stanley,Hernán A. Makse
出处
期刊:Nature Physics
[Nature Portfolio]
日期:2010-08-29
卷期号:6 (11): 888-893
被引量:3180
摘要
Networks portray a multitude of interactions through which people meet, ideas are spread, and infectious diseases propagate within a society. Identifying the most efficient "spreaders" in a network is an important step to optimize the use of available resources and ensure the more efficient spread of information. Here we show that, in contrast to common belief, the most influential spreaders in a social network do not correspond to the best connected people or to the most central people (high betweenness centrality). Instead, we find: (i) The most efficient spreaders are those located within the core of the network as identified by the k-shell decomposition analysis. (ii) When multiple spreaders are considered simultaneously, the distance between them becomes the crucial parameter that determines the extend of the spreading. Furthermore, we find that-- in the case of infections that do not confer immunity on recovered individuals-- the infection persists in the high k-shell layers of the network under conditions where hubs may not be able to preserve the infection. Our analysis provides a plausible route for an optimal design of efficient dissemination strategies.
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