R，寻找程度，亲密度和中间度的误差

Question

尝试将集中度的通用度量应用于像这样的非定向简单数据集：

出现错误：

Error in closeness(net, gmode = "graph") : unused argument (gmode = "graph")

当我删除参数（gmode =“ graph）时，它给出：

Error in degree(W) : Not a graph object 

我尝试使用此行将其转换，但仍然无法正常工作：

W <- graph_from_adjacency_matrix(df)
W <- graph_from_data_frame(df)

如何纠正它们？谢谢。

以下是这些行：

Bob <- c(0,1,0,0,0)
Kate <- c(0,0,0,1,0)
David <- c(0,0,0,1,0)
Jack <- c(0,0,1,0,0)
Peter <- c(0,1,0,0,1)
df <- data.frame(Bob, Kate, David, Jack, Peter)

library(igraph)

W <- data.frame(df)
net <- network(W)

net %v% 'vertex.names'

degree(W, gmode="graph")
closeness(net, gmode="graph")
betweenness(net, gmode="graph")

回答此问题后的附件，以防万一它可以帮助某人-将Excel格式转换为adjacency_matrix，请使用以下几行。

df <- readxl::read_excel("spreadsheet.xlsx", sheet = "Sheet1")
W <- as.matrix(df)
W <- graph_from_adjacency_matrix(W)

Answer 1

您的代码有些神秘，暗示是否可能使用了其他软件包？ network中没有这样的函数igraph，函数degree，closeness和betweenness没有参数gmode。我相信以下是您所追求的：

library(igraph)
# We are going to use graph_from_adjacency_matrix, so we need a matrix
# rather than a data frame
df <- cbind(Bob, Kate, David, Jack, Peter)

W <- graph_from_adjacency_matrix(df)

V(W)$name
# [1] "Bob"   "Kate"  "David" "Jack"  "Peter"

degree(W)
#   Bob  Kate David  Jack Peter 
#     1     3     2     3     3 
closeness(W)
#        Bob       Kate      David       Jack      Peter 
# 0.05000000 0.08333333 0.11111111 0.16666667 0.05000000 
# Warning message:
# In closeness(W) :
#   At centrality.c:2784 :closeness centrality is not well-defined for disconnected graphs
betweenness(W)
#   Bob  Kate David  Jack Peter 
#     0     4     0     3     0