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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，计数可以捕捉行走的体积或长度。体积是给定类型的行走的总数。上一段的三个例子就属于这一类。长度捕获从给定顶点到图中其余顶点的距离。Freeman 的贴近中心性，即从一个给定顶点到所有其他顶点的测地距离，是最著名的例子。请注意，这种分类与步行计数的类型无关(即。步行，小道，路径，测地线)。

同样地，计数可以捕捉行走的体积或长度。体积是给定类型的行走的总数。上一段的三个例子就属于这一类。长度捕获从给定顶点到图中其余顶点的距离。自由人 的贴近中心性，即从一个给定顶点到所有其他顶点的测地距离，是最著名的例子。请注意，这种分类与步行计数的类型无关(即。步行，小道，路径，测地线)。