2015-10-19 28 views
1

我有一個圖g,其中頂點有一個屬性'組'。我想根據組屬性來度量圖的模塊性。以下是我proceeced:iGraph中的模塊化和集羣問題[Python]

cl = Clustering(g.vs()['group']) 
modul = g2.modularity(cl,weights=None) 

羣集對象CL看起來是這樣的:

Clustering with 134 elements and 26 clusters 
[ 0] 52, 53, 54, 55, 56 
[ 1] 44, 45, 46, 47 
[ 2] 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105 
[ 3] 73, 74, 75, 76, 77, 78 
[ 4] 36, 37, 38, 39 
[ 5] 3 
[ 6] 85, 86, 87, 88, 89, 90, 91, 92 
[ 7] 11, 48, 49, 50, 51 
[ 8] 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 
    120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133 
[ 9] 12, 57, 58, 59, 60, 61 
[10] 62, 63, 64, 65, 66 
[11] 4 
[12] 10, 15, 16 
[13] 79, 80, 81, 82, 83, 84 
[14] 0, 13, 14, 21, 22, 23, 24, 32, 33, 34, 35 
[15] 28, 29, 30, 31 
[16] 67, 68, 69, 70, 71, 72 
[17] 1 
[18] 7 
[19] 19, 20 
[20] 9 
[21] 8 
[22] 2, 40, 41, 42, 43 
[23] 5 
[24] 6, 17, 18 
[25] 25, 26, 27 

爲什麼IGRAPH提出這個錯誤:

ValueError: iterable must yield integers 

我缺少的東西?

回答

1

modularity函數需要一個迭代器,它將整數作爲第一個參數,而不是一個Clustering對象。順便說一句,g.vs["group"]給你正是這樣,所以沒有必要創建一個Clustering

g.modularity(g.vs["group"]) 

如果你真的想要一個Clustering對象,你需要建立一個VertexClustering,然後利用其modularity財產(這將依次調用圖的modularity方法):

cl = VertexClustering(g, g.vs["group"]) 
cl.modularity