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删除40字节 、 2020年8月17日 (一) 23:04
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When centralities are categorized by their approach to cohesiveness, it becomes apparent that the majority of centralities inhabit one category. The count of the number of walks starting from a given vertex differs only in how walks are defined and counted. Restricting consideration to this group allows for a soft characterization which places centralities on a spectrum from walks of length one (degree centrality) to infinite walks (eigenvalue centrality). The observation that many centralities share this familial relationships perhaps explains the high rank correlations between these indices.
 
When centralities are categorized by their approach to cohesiveness, it becomes apparent that the majority of centralities inhabit one category. The count of the number of walks starting from a given vertex differs only in how walks are defined and counted. Restricting consideration to this group allows for a soft characterization which places centralities on a spectrum from walks of length one (degree centrality) to infinite walks (eigenvalue centrality). The observation that many centralities share this familial relationships perhaps explains the high rank correlations between these indices.
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当中心性按照它们对内聚性的趋近程度来分类时,很明显,大多数中心性都集中在一个类别中。从一个给定顶点开始对步数的计数只在行走的定义和计数方式上有所不同。限制对这个群体的考虑允许一个软角色塑造,它将集中点放在一个从一级行走(度集中性)到无限行走(特征值集中性)的频谱上。观察到许多中心分享这种相似关系,也许可以解释这些指数之间的高阶相关性。
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当中心性按照它们对内聚性的趋近程度来分类时,很明显,大多数中心性都集中在一个类别中。从一个给定顶点开始对步数的计数只在行走的定义和计数方式上有所不同。考虑到对该组允许的软特性描述的限制,其中位置中心(度中心度)到单元域(特征中心度),观察到许多中心分享这种相似关系,也许可以解释这些指数之间的高阶相关性。
     
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