我和how to merge two weighted graph and sum weigths有同样的问题。
但是这里有我的R代码以便更好地理解:
g1 <- graph.full(10)
V(g1)$name <- letters[1:vcount(g1)]
E(g1)$weight <- 1
g3 <- graph.full(5)
V(g3)$name <- c("a", "b", "x", "y", "z")
E(g3)$weight <- 1
graph.union.by.name(g1, g3)
合并图中的权重应该是g1和g3(a - b)中相同边上的2
图表的输入是:
> dput(g1)
structure(list(10, FALSE, c(1, 2, 3, 4, 5, 6, 7, 8, 9, 2, 3,
4, 5, 6, 7, 8, 9, 3, 4, 5, 6, 7, 8, 9, 4, 5, 6, 7, 8, 9, 5, 6,
7, 8, 9, 6, 7, 8, 9, 7, 8, 9, 8, 9, 9), c(0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,
3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 8), c(0, 1, 9,
2, 10, 17, 3, 11, 18, 24, 4, 12, 19, 25, 30, 5, 13, 20, 26, 31,
35, 6, 14, 21, 27, 32, 36, 39, 7, 15, 22, 28, 33, 37, 40, 42,
8, 16, 23, 29, 34, 38, 41, 43, 44), c(0, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
40, 41, 42, 43, 44), c(0, 0, 1, 3, 6, 10, 15, 21, 28, 36, 45),
c(0, 9, 17, 24, 30, 35, 39, 42, 44, 45, 45), list(c(1, 0,
1), structure(list(name = "Full graph", loops = FALSE), .Names = c("name",
"loops")), structure(list(name = c("a", "b", "c", "d", "e",
"f", "g", "h", "i", "j")), .Names = "name"), structure(list(
weight = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)), .Names = "weight"))), class = "igraph")
> dput(g2)
structure(list(10, FALSE, c(1, 2, 3, 4, 5, 6, 7, 8, 9, 2, 3,
4, 5, 6, 7, 8, 9, 3, 4, 5, 6, 7, 8, 9, 4, 5, 6, 7, 8, 9, 5, 6,
7, 8, 9, 6, 7, 8, 9, 7, 8, 9, 8, 9, 9), c(0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3,
3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 8), c(0, 1, 9,
2, 10, 17, 3, 11, 18, 24, 4, 12, 19, 25, 30, 5, 13, 20, 26, 31,
35, 6, 14, 21, 27, 32, 36, 39, 7, 15, 22, 28, 33, 37, 40, 42,
8, 16, 23, 29, 34, 38, 41, 43, 44), c(0, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
40, 41, 42, 43, 44), c(0, 0, 1, 3, 6, 10, 15, 21, 28, 36, 45),
c(0, 9, 17, 24, 30, 35, 39, 42, 44, 45, 45), list(c(1, 0,
1), structure(list(name = "Full graph", loops = FALSE), .Names = c("name",
"loops")), structure(list(name = c("a", "b", "c", "d", "e",
"f", "g", "h", "i", "j")), .Names = "name"), structure(list(
weight = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)), .Names = "weight"))), class = "igraph")
是否可以使用igraph或者我是否需要一些解决方法?
答案 0 :(得分:2)
这将在下一个版本中得到支持,直到那时这是一个解决方法:
mymerge <- function(g1, g2) {
e1 <- get.data.frame(g1, what="edges")
e2 <- get.data.frame(g2, what="edges")
e <- merge(e1, e2, by=c("from", "to"), all=TRUE)
newe <- data.frame(e[,c("from", "to"), drop=FALSE],
weight=rowSums(e[, c("weight.x", "weight.y")], na.rm=TRUE))
graph.data.frame(newe, directed=is.directed(g1))
}
mymerge(g1, g3)
# IGRAPH UNW- 13 54 --
# + attr: name (v/c), weight (e/n)
mymerge(g1, g3)["a", "b"]
# [1] 2