I am working with the R programming language.
I have the following dataset:
library(igraph)
library(visNetwork)
nodes_df = structure(list(id = c("Boss", "TeamA", "TeamB", "SubteamA1",
"SubteamA2", "SubteamA3", "SubteamB1", "SubteamB2", "SubteamB3",
"employee1", "employee2", "employee3", "employee4", "employee5",
"employee6", "employee7", "employee8", "employee9", "employee10",
"employee11", "employee12", "employee13", "employee14", "employee15",
"employee16", "employee17", "employee18"), label = c("Boss",
"TeamA", "TeamB", "SubteamA1", "SubteamA2", "SubteamA3", "SubteamB1",
"SubteamB2", "SubteamB3", "employee1", "employee2", "employee3",
"employee4", "employee5", "employee6", "employee7", "employee8",
"employee9", "employee10", "employee11", "employee12", "employee13",
"employee14", "employee15", "employee16", "employee17", "employee18"
), group = c("yellow", "red", "red", "green", "green", "green",
"green", "green", "green", "purple", "purple", "purple", "purple",
"purple", "purple", "purple", "purple", "purple", "purple", "purple",
"purple", "purple", "purple", "purple", "purple", "purple", "purple"
)), row.names = c(NA, -27L), class = "data.frame")
edges_df = structure(list(from = c("Boss", "TeamA", "TeamA", "TeamA", "SubteamA1",
"SubteamA1", "SubteamA1", "SubteamA2", "SubteamA2", "SubteamA2",
"SubteamA3", "SubteamA3", "SubteamA3", "Boss", "TeamB", "TeamB",
"TeamB", "SubteamB1", "SubteamB1", "SubteamB1", "SubteamB2",
"SubteamB2", "SubteamB2", "SubteamB3", "SubteamB3", "SubteamB3"
), to = c("TeamA", "SubteamA1", "SubteamA2", "SubteamA3", "employee1",
"employee2", "employee3", "employee4", "employee5", "employee6",
"employee7", "employee8", "employee9", "TeamB", "SubteamB1",
"SubteamB2", "SubteamB3", "employee10", "employee11", "employee12",
"employee13", "employee14", "employee15", "employee16", "employee17",
"employee18")), row.names = c(NA, -26L), class = "data.frame")
I made the following graph network from this data:
# Create the visNetwork object
visNetwork(nodes_df, edges_df) %>% visHierarchicalLayout(direction = "UD") %>%
visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) %>%
visInteraction(navigation = "zoom") %>%
visInteraction(navigation = "drag")
My Question: Is there anything I can do to have this graph network better reflect the "hierarchies" in my data? For example - I would like "boss" to appear at the top, "teams" to appear after, "subteams" to be after and "employees" to be after.
I tried to do this with the visHierarchicalLayout(direction = "UD")
option and I can't seem to get this hierarchical order to be reflected in the visualization. Does anyone know what I might be able to do to fix this?
Thanks!
You could create a column called level
which has a unique order number for each group, like boss will be number 1 etc. So when having Up to Down layout (direction = "UD"
) your boss will be top and your last number 4 will be bottom of layout which are the employees. Here is a reproducible example:
library(igraph)
library(visNetwork)
library(dplyr)
#create level column
nodes_df <- nodes_df %>%
mutate(level = case_when(group == "yellow" ~ 1,
group == "red" ~ 2,
group == "green" ~ 3,
group == "purple" ~ 4))
# Create the visNetwork object
visNetwork(nodes_df, edges_df) %>%
visHierarchicalLayout(direction = "UD") %>%
visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE) %>%
visInteraction(navigation = "zoom") %>%
visInteraction(navigation = "drag")
Created on 2023-01-30 with reprex v2.0.2