典型文献
Robustness measurement of scale-free networks based on motif entropy
文献摘要：
As a classical complex network model,scale-free network is widely used and studied.And motifs,as a high-order subgraph structure,frequently appear in scale-free networks,and have a great influence on the structural integrity,functional integrity and dynamics of the networks.In order to overcome the shortcomings in the existing work on the robustness of complex networks,only nodes or edges are considered,while the defects of high-order structure in the network are ignored.From the perspective of network motif,we propose an entropy of node degree distribution based on motif to measure the robustness of scale-free networks under random attacks.The effectiveness and superiority of our method are verified and analyzed in the BA scale-free networks.
文献关键词：
中图分类号：
作者姓名：
Yun-Yun Yang;Biao Feng;Liao Zhang;Shu-Hong Xue;Xin-Lin Xie;Jian-Rong Wang
作者机构：
College of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Taiyuan University of Science and Technology,Taiyuan 030024,China;School of Mathematical Sciences,Shanxi University,Taiyuan 030024,China
文献出处：
引用格式：
[1]Yun-Yun Yang;Biao Feng;Liao Zhang;Shu-Hong Xue;Xin-Lin Xie;Jian-Rong Wang-.Robustness measurement of scale-free networks based on motif entropy)[J].中国物理B（英文版）,2022(08):211-217
A类：
B类：
Robustness,measurement,scale,free,networks,entropy,classical,complex,model,widely,used,studied,And,motifs,high,order,subgraph,structure,frequently,appear,have,great,influence,structural,integrity,functional,dynamics,In,overcome,shortcomings,existing,robustness,only,nodes,edges,are,considered,while,defects,ignored,From,perspective,we,propose,degree,distribution,under,random,attacks,effectiveness,superiority,our,method,verified,analyzed,BA
AB值：
0.53172
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