如何解决R中的特征向量中心性度量
我有一个部分相关矩阵，它由正值和负值组成。我已经基于这个矩阵构建了一个网络，并想计算它的特征向量中心性度量。我正在使用 evcent 函数，但我还没有找到关于该函数如何处理输入中的负值的任何文档。任何人都可以向我推荐可以清楚解释这一点的文档、论文等吗？我似乎对这个衡量标准感到很困惑。
dput(c$estimate)
structure(c(1,0.316232734476743,0.159138112996994,0.51716720800751,-0.171138157203412,-0.134403786032336,1,0.762712190750185,0.232310016390404,-0.453603002876671,-0.285980739555246,0.323373911918246,-0.291454052760697,0.762712190750184,0.177148045172427,0.268732694036394,0.369995711033572,-0.424016516904762,0.177148045172423,-0.546060128025918,0.501507022349682,0.566755462948541,0.529918603580788,0.129323096948468,0.159138112996997,-0.546060128025919,0.144007861096439,0.301188044463455,0.481698196186874,0.242875135784718,0.16146544561877,-0.453603002876673,0.268732694036395,0.501507022349684,0.144007861096441,-0.350379436564998,0.332123088063892,-0.285980739555248,0.369995711033577,0.566755462948537,0.301188044463452,-0.350379436564994,-0.141404020322527,0.323373911918248,0.52991860358079,0.481698196186873,0.192509854303764,-0.171138157203416,0.129323096948465,0.242875135784717,0.332123088063894,-0.141404020322526,0.192509854303766,1),.Dim = c(11L,11L),.Dimnames = list(c("jpm","gs","ms","bofa","schwab","brk","wf","citi","amex","spgl","pnc"),c("jpm","pnc")))
g <- graph_from_adjacency_matrix(c$estimate,weighted="wt",mode="undirected",diag=F)
evcent(g,directed=F)$vector
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