当边缘大于一个时，visIgraphLayout（）函数使节点之间的边缘重叠

Question

我有下面的代码，该代码使用r包visNetwork可视化网络。

library(visNetwork)                  
  id<-c("articaine","benzocaine","etho","esli")
  label<-c("articaine","benzocaine","etho","esli")
  node<-data.frame(id,label)

  from<-c("articaine","articaine","articaine","articaine","articaine","articaine","articaine","articaine","articaine")
  to<-c("benzocaine","etho","esli","benzocaine","etho","esli","benzocaine","etho","esli")
  title<-c("SCN1A","SCN1A","SCN1A","SCN2A","SCN2A","SCN2A","SCN3A","SCN3A","SCN3A")

  edge<-data.frame(from,to,title)

  visNetwork(nodes = node,edge)%>% 


    visOptions(highlightNearest=T, nodesIdSelection = T) %>%

    # Specify that hover interaction and on-screen button navigations are active
    visInteraction(hover = T, navigationButtons = T) %>%


    visIgraphLayout(randomSeed = 997)

如果删除最后一行

%>%


        visIgraphLayout(randomSeed = 997)

网络可视化是正确的

但是添加后我失去了一些优势。

我需要visIgraphLayout()函数，因为它使我的真实网络看起来更好，并且复制速度更快。为什么会发生？可能的解决方案？

Answer 1

一种折衷方法是将平滑属性分配给具有多个边的从-到组合，而不分配给其他。就我而言，这大大提高了绘图速度。我正在使用data.table和visNetwork。

##assign smooth property where multiple edges
edge_list[, N := .N, by = c("from", "to")]
edge_list[N > 1, smooth := T]
edge_list[N == 1, smooth := F]

##plot
visNetwork(nodes = node_list,
           edges = edge_list[, .(from, to, smooth)]) %>%
visNodes(physics = F) %>%
visIgraphLayout(randomSeed = 951)

抱歉，该示例不可复制，但希望有用。