我是双向网络分析的新手，我在基本措施方面遇到了一些麻烦。我正在尝试在二分网络上工作[[没有在1-mode图中投影。我的问题来自以下事实，即igraph包允许创建二部图，但是这些度量似乎无法适应这些图的特殊性。
所以，我的一般性问题是，当您直接在双向网络上工作时该怎么办？这里是一个具体的密度示例
## Working with an incidence matrix (sample) with 47 columns and 10 rows (unweighted / undirected)
# Want to compute basic global index like density with igraph
library(igraph)
g <- graph.incidence(m, directed = F )
graph.density(g) # result = 0.04636591
# Now trying to compute basic density for a bipartite graph without igraph (number of edges divided by the product of the two types of vertices)
library(Matrix)
d <- nnzero(m)/ (ncol(m)*nrow(m)) # result 0.1574468
# It seems that bipartite package does the job
library(bipartite)
networklevel(m, index=c("connectance")) # result 0.1574468
但是软件包非常特定于生态学领域，并且许多措施是针对食物网和物种之间的相互作用而设计的（以及一些（如聚类系数，似乎并未考虑到）图：例如]计算4个周期）。所以，有没有更简单的方法可以使用bipartite
igraph
在二分网络上工作？为了测量一些全局指标（密度，具有4个周期的聚类系数，我知道tnet可以做到这一点，但是我的实际网络太大），并考虑到局部指标（如度，亲和力，居中性），将其标准化双向特异性（例如Borgatti SP，Everett MG，1997年，《二模数据的网络分析》，社交网络）？ 任何建议将不胜感激！下面的代码再现我的矩阵“ m”的样本
m <- structure(c(1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1,
0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0,
1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0,
0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,
0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0), .Dim = c(10L, 47L), .Dimnames = list(
c("02723", "13963", "F3238", "02194", "15051", "04477", "02164",
"06283", "04080", "08304"), c("1185241", "170063", "10350868",
"217831", "2210247", "2262963", "1816670", "1848354", "2232593",
"146214", "1880252", "2261639", "2262581", "2158177", "1850147",
"2262912", "146412", "2262957", "1566083", "1841811", "146384",
"216281", "2220957", "1846986", "1951567", "1581130", "105343",
"1580240", "170654", "1796236", "1835553", "1835848", "146400",
"1174872", "1283240", "2253354", "1283617", "146617", "160263",
"2263115", "184745", "1809858", "1496747", "10346824", "148730",
"2262582", "146268")))
我是双向网络分析的新手，我在基本措施方面遇到了一些麻烦。我正在尝试在二分网络上工作，而无需在1-mode图中进行投影。我的问题来自……