我有一个大图,需要通过选择包含某个属性的边的顶点来过滤和创建子图。边具有许多属性atti = {att1,att2,...,attN} 我想根据选定的属性列表选择边缘
> 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)
在这种情况下,应选择顶点A,B,E,F,H,I(边att1> 0的顶点)和顶点D,E,F(边att3> 0的顶点)。
A--B att1 = 1 att3 = 0 --> select this edge, so select nodes A and B
B--C att1 = 0 att3 = 0
C--D att1 = 0 att3 = 0
D--E att1 = 0 att3 = 1 --> select this edge, so select nodes D and E
E--F att1 = 1 att3 = 4 --> select this edge, so select nodes E and F
F--G att1 = 0 att3 = 0
G--H att1 = 0 att3 = 0
H--I att1 = 1 att3 = 0 --> select this edge, so select nodes H and I
I--A att1 = 0 att3 = 0
选定的属性是动态的。它们会发生变化,可能有很多,所以我不想对其进行硬编码。
答案 0 :(得分:1)