有人知道一种可视化网络(来自igraph
)(随着建立新连接)的方法吗?我看过http://www.datanucleus.org/products/accessplatform/jpa/metadata_xml.html并在线搜索,但什么都没看到。
例如,如果网络是:
library("tidyverse")
library("igraph")
net.bg <- sample_pa(20)
V(net.bg)$size <- 8
V(net.bg)$label <- ""
E(net.bg)$arrow.mode <- 0
net.bg.df <- igraph::as_data_frame(net.bg)
net.bg.df <- net.bg.df %>%
mutate(time_frame = 1:n())
l <- layout_randomly(net.bg)
plot(net.bg, layout=l)
是否有一种方法可以通过字段time_frame
转换动画,类似于正常的情节动画,例如:
library(ggplot2)
library(gganimate)
library(gapminder)
theme_set(theme_bw())
p <- ggplot(
gapminder,
aes(x = gdpPercap, y=lifeExp, size = pop, colour = country)
) +
geom_point(show.legend = FALSE, alpha = 0.7) +
scale_color_viridis_d() +
scale_size(range = c(2, 12)) +
scale_x_log10() +
labs(x = "GDP per capita", y = "Life expectancy")
p + transition_time(year) +
labs(title = "Year: {frame_time}")
答案 0 :(得分:1)
您可以使用resid(m1, type = "normalised")
package,它也可以与ggraph
一起使用并很好地处理gganimate
对象。
为此,我们需要指定边缘处于活动状态的时间点。通过创建开始时间和结束点列表(原始数据集中的行数),这不是很优雅。
igraph
剩下的就是绘制网络并使用library(tidyr)
library(ggraph)
library(gganimate)
df0 <- net.bg.df
df0$time_frame <- as.numeric(df0$time_frame)
for(i in 1:nrow(df0)){
df0$time_frame[i] <- list(df0$time_frame[i][[1]]:19)
}
df <- unnest(df0, time_frame)
g2 <- graph_from_data_frame(df)
l <- as.data.frame(l) # ggraph only accepts data.frame
colnames(l) <- c("x", "y") # ggraph needs these column names
ggraph(g2, layout = "manual", node.position = l) +
geom_node_point(color = "blue", size =3) +
geom_edge_link0(show.legend = F, width = 1) +
theme_classic() +
theme(axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.y = element_blank()) +
transition_states(time_frame) +
ggtitle(paste0("time point: ", "{closest_state}"))
-函数。这是additional sources。