如果有另一个顶点同时引用了两个顶点，则这两个顶点被称为共被引。cocitation() 简单地计算两个顶点被共被引的次数。两个顶点的书目耦合是指它们共同引用的其他顶点的数量，bibcoupling() 计算这个数量。
详细信息
cocitation() 计算 v 参数中的顶点和图中所有顶点的共被引计数。
bibcoupling() 计算 v 中的顶点和图中所有顶点的书目耦合。
计算仅一个顶点的共被引或书目耦合的计算量与计算所有顶点的计算量相同。这将来可能会改变。
参见
其他共被引: similarity()
作者
Gabor Csardi csardi.gabor@gmail.com
示例
g <- make_kautz_graph(2, 3)
cocitation(g)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [2,] 2 0 0 0 0 0 0 0 0 0 0 0 0
#> [3,] 0 0 0 2 0 0 0 0 0 0 0 0 0
#> [4,] 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [5,] 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [6,] 0 0 0 0 2 0 0 0 0 0 0 0 0
#> [7,] 0 0 0 0 0 0 0 2 0 0 0 0 0
#> [8,] 0 0 0 0 0 0 2 0 0 0 0 0 0
#> [9,] 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [10,] 0 0 0 0 0 0 0 0 2 0 0 0 0
#> [11,] 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [12,] 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [13,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [15,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [16,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [17,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [18,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [20,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [21,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [22,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [24,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
#> [1,] 0 0 0 0 0 0 0 0 0 0 0
#> [2,] 0 0 0 0 0 0 0 0 0 0 0
#> [3,] 0 0 0 0 0 0 0 0 0 0 0
#> [4,] 0 0 0 0 0 0 0 0 0 0 0
#> [5,] 0 0 0 0 0 0 0 0 0 0 0
#> [6,] 0 0 0 0 0 0 0 0 0 0 0
#> [7,] 0 0 0 0 0 0 0 0 0 0 0
#> [8,] 0 0 0 0 0 0 0 0 0 0 0
#> [9,] 0 0 0 0 0 0 0 0 0 0 0
#> [10,] 0 0 0 0 0 0 0 0 0 0 0
#> [11,] 0 0 0 0 0 0 0 0 0 0 0
#> [12,] 0 0 0 0 0 0 0 0 0 0 0
#> [13,] 2 0 0 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 0 0 0 0 0 0
#> [15,] 0 0 2 0 0 0 0 0 0 0 0
#> [16,] 0 2 0 0 0 0 0 0 0 0 0
#> [17,] 0 0 0 0 2 0 0 0 0 0 0
#> [18,] 0 0 0 2 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 2 0 0 0 0
#> [20,] 0 0 0 0 0 2 0 0 0 0 0
#> [21,] 0 0 0 0 0 0 0 0 2 0 0
#> [22,] 0 0 0 0 0 0 0 2 0 0 0
#> [23,] 0 0 0 0 0 0 0 0 0 0 2
#> [24,] 0 0 0 0 0 0 0 0 0 2 0
bibcoupling(g)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [3,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [4,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [5,] 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [6,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [9,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [10,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [11,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [12,] 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [13,] 0 0 0 0 2 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [15,] 0 0 0 0 0 0 2 0 0 0 0 0 0
#> [16,] 0 0 0 0 0 0 0 2 0 0 0 0 0
#> [17,] 0 0 0 0 0 0 0 0 2 0 0 0 0
#> [18,] 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [19,] 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [20,] 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [21,] 2 0 0 0 0 0 0 0 0 0 0 0 0
#> [22,] 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [24,] 0 0 0 2 0 0 0 0 0 0 0 0 0
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24]
#> [1,] 0 0 0 0 0 0 0 2 0 0 0
#> [2,] 0 0 0 0 0 0 0 0 2 0 0
#> [3,] 0 0 0 0 0 0 0 0 0 2 0
#> [4,] 0 0 0 0 0 0 0 0 0 0 2
#> [5,] 0 0 0 0 0 0 0 0 0 0 0
#> [6,] 2 0 0 0 0 0 0 0 0 0 0
#> [7,] 0 2 0 0 0 0 0 0 0 0 0
#> [8,] 0 0 2 0 0 0 0 0 0 0 0
#> [9,] 0 0 0 2 0 0 0 0 0 0 0
#> [10,] 0 0 0 0 2 0 0 0 0 0 0
#> [11,] 0 0 0 0 0 2 0 0 0 0 0
#> [12,] 0 0 0 0 0 0 2 0 0 0 0
#> [13,] 0 0 0 0 0 0 0 0 0 0 0
#> [14,] 0 0 0 0 0 0 0 0 0 0 0
#> [15,] 0 0 0 0 0 0 0 0 0 0 0
#> [16,] 0 0 0 0 0 0 0 0 0 0 0
#> [17,] 0 0 0 0 0 0 0 0 0 0 0
#> [18,] 0 0 0 0 0 0 0 0 0 0 0
#> [19,] 0 0 0 0 0 0 0 0 0 0 0
#> [20,] 0 0 0 0 0 0 0 0 0 0 0
#> [21,] 0 0 0 0 0 0 0 0 0 0 0
#> [22,] 0 0 0 0 0 0 0 0 0 0 0
#> [23,] 0 0 0 0 0 0 0 0 0 0 0
#> [24,] 0 0 0 0 0 0 0 0 0 0 0