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《Complex Systems and Complexity Science》 2017-04
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Network Destruction Resistance Based on Network Motif Feature

JIA Chengfeng;HAN Hua;WANYAN Juan;Lü Yanan;Department of Sciences,Wuhan University of Technology;  
Real networks such as biological neural networks,food chain networks contain motif structure.But for this kind of network with the motif characters,there is no corresponded attack strategy.In this paper,we propose a motif degree algebraic algorithm and a motif attack failure mode for this kind of network with the characteristics of the motif structure.We design a model attack strategy which is different from the traditional attack.By using this strategy,two simulation networks and five different size real networks with distinct motif characteristics are simulated and compared with the traditional point attack strategy.The simulation results show that the survivability of the network with the motif feature under the motif attack strategy is obviously lower than traditional point attack strategy.And the motif attacking strategy is more significant to the network with obvious motif characteristics.
【Fund】: 国家自然科学基金(71140015 71372135);国家自然科学基金青年科学基金(61303028);; 中央高校基本科研业务费专项基金(2015-zy-115)
【CateGory Index】: O157.5
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