R 边或顶点的动态属性上的子图

我有一个大图，我需要通过选择包含某个属性的边的顶点来过滤并创建一个子图。边有许多属性atti={att1，att2，…，attN} 我想根据选定的属性列表选择边

> require(igraph)
> graph <- make_ring(9)  #this is my original graph
> V(graph)$name <- c("A", "B", "C", "D", "E", "F", "G", "H", "I")  #name of vertices
> E(graph)$att1 <- c(1,0,0,0,1,0,0,1,0)
> E(graph)$att2 <- c(0,3,1,0,0,1,0,0,1)
> E(graph)$att3 <- c(0,0,0,1,4,0,0,0,0)
> E(graph)$att4 <- c(1,0,1,0,2,1,0,0,0)

> # this is where I have issue. i don't know how to select vertices based on a dynamically selecting edges
> selected_atts <- c("att1", "att3")
> selected_vertices <- V(graph)[inc(E(graph)[which(selected_atts> 0)])] ## select all vertices that are linked by edges with att1 > 0 or att3 > 0 
> subgraph_list <- make_ego_graph(graph, order=1, selected_vertices) 

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选定的属性是动态的。它们会发生变化，可能会有很多，因此我不想硬编码它们。

继续您的示例，您可以按名称引用边缘属性

edge_attr(graph)[["att1"]]
[1] 1 0 0 0 1 0 0 1 0

因此，在选定的边上循环并获取适当的边。然后制作子图

selected_atts <- c("att1", "att3")

KeepEdge = 1:ecount(graph)
for(SA in selected_atts) {
    KeepEdge = intersect(Keep, which(edge_attr(graph)[[SA]] > 0)) }

SG = subgraph.edges(graph, KeepEdge)
plot(SG)

selected_atts 0））}
SG=子图边（图，保留）
绘图（SG）

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边属性函数非常有用！非常感谢。

selected_atts <- c("att1", "att3")

KeepEdge = 1:ecount(graph)
for(SA in selected_atts) {
    KeepEdge = intersect(Keep, which(edge_attr(graph)[[SA]] > 0)) }

SG = subgraph.edges(graph, KeepEdge)
plot(SG)