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添加4字节 、 2020年8月21日 (五) 22:52
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== Dissimilarity based centrality measures ==
 
== Dissimilarity based centrality measures ==
基于相异性的中心性度量
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==基于相异性的中心性度量==
    
[[File:Srep17095-f1.jpg|thumbnail|In the illustrated network, green and red nodes are the most dissimilar because they do not share neighbors between them. So, the green one contributes more to the centrality of the red one than the gray ones, because the red one can access to the blue ones only through the green, and the gray nodes are redundant for the red one, because it can access directly to each gray node without any intermediary.]]
 
[[File:Srep17095-f1.jpg|thumbnail|In the illustrated network, green and red nodes are the most dissimilar because they do not share neighbors between them. So, the green one contributes more to the centrality of the red one than the gray ones, because the red one can access to the blue ones only through the green, and the gray nodes are redundant for the red one, because it can access directly to each gray node without any intermediary.]]
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where <math>n</math> is the number of the nodes in the network. Several dissimilarity measures and networks were tested in  obtaining improved results in the studied cases.
 
where <math>n</math> is the number of the nodes in the network. Several dissimilarity measures and networks were tested in  obtaining improved results in the studied cases.
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其中 < math > n </math > 是网络中的节点数。几个不同的措施和网络进行了测试,以获得改善的结果在研究的案例。
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其中 < math > n </math > 是网络中的节点数。几个不同的措施和网络进行了测试,以获得在研究案例的改善的结果。
    
==Extensions==
 
==Extensions==
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