更改

Likewise, the counting can capture either the volume or the length of walks. Volume is the total number of walks of the given type. The three examples from the previous paragraph fall into this category. Length captures the distance from the given vertex to the remaining vertices in the graph. Freeman's closeness centrality, the total geodesic distance from a given vertex to all other vertices, is the best known example. Note that this classification is independent of the type of walk counted (i.e. walk, trail, path, geodesic).

Likewise, the counting can capture either the volume or the length of walks. Volume is the total number of walks of the given type. The three examples from the previous paragraph fall into this category. Length captures the distance from the given vertex to the remaining vertices in the graph. Freeman's closeness centrality, the total geodesic distance from a given vertex to all other vertices, is the best known example. Note that this classification is independent of the type of walk counted (i.e. walk, trail, path, geodesic).

同样地，计数可以记录行走的数量或长度。量是给定类型的总步数。上一段的三个例子就属于这一类。长度则给出从给定顶点到图中其余顶点的距离。Freeman的'''<font color="#ff8000"> 紧密中心性Closeness centrality</font>'''，即从一个给定顶点到所有其他顶点的总测地线距离，是最著名的例子。<ref name=Borgatti2006/>请注意，这种分类独立于步行计数的类型(即：步行，小道，路径，测地线)。

同样地，计数可以记录行走的数量或长度。量是给定类型的总步数。上一段的三个例子就属于这一类。长度则给出从给定顶点到图中其余顶点的距离。Freeman的'''<font color="#ff8000"> 接近中心性Closeness centrality</font>'''，即从一个给定顶点到所有其他顶点的总测地线距离，是最著名的例子。<ref name=Borgatti2006/>请注意，这种分类独立于步行计数的类型(即：步行，小道，路径，测地线)。