Learn R Programming

D3 JavaScript Network Graphs from R

Development version: 0.4.9000

This README includes information on set up and a number of basic examples. For more information see the package's main page.

Usage

Here's an example of simpleNetwork:

library(networkD3)

# Create fake data
src <- c("A", "A", "A", "A", "B", "B", "C", "C", "D")
target <- c("B", "C", "D", "J", "E", "F", "G", "H", "I")
networkData <- data.frame(src, target)

# Plot
simpleNetwork(networkData)

Here's forceNetwork:

# Load data
data(MisLinks)
data(MisNodes)

# Plot
forceNetwork(Links = MisLinks, Nodes = MisNodes, Source = "source",
             Target = "target", Value = "value", NodeID = "name",
             Group = "group", opacity = 0.7,
             colourScale = JS("d3.scaleOrdinal(d3.schemeCategory20);"))

Here's sankeyNetwork using a downloaded JSON data file:

# Recreate Bostock Sankey diagram: https://bost.ocks.org/mike/sankey/
# Load energy projection data
URL <- paste0("https://cdn.rawgit.com/christophergandrud/networkD3/",
              "master/JSONdata/energy.json")
Energy <- jsonlite::fromJSON(URL)

# Plot
sankeyNetwork(Links = Energy$links, Nodes = Energy$nodes, Source = "source",
             Target = "target", Value = "value", NodeID = "name",
             units = "TWh", fontSize = 12, nodeWidth = 30)

Interacting with igraph

You can use igraph to create network graph data that can be plotted with networkD3. The igraph_to_networkD3 function converts igraph graphs to lists that work well with networkD3. For example:

# Load igraph
library(igraph)

# Use igraph to make the graph and find membership
karate <- make_graph("Zachary")
wc <- cluster_walktrap(karate)
members <- membership(wc)

# Convert to object suitable for networkD3
karate_d3 <- igraph_to_networkD3(karate, group = members)

# Create force directed network plot
forceNetwork(Links = karate_d3$links, Nodes = karate_d3$nodes, 
             Source = 'source', Target = 'target', NodeID = 'name', 
             Group = 'group')

Saving to an external file

Use saveNetwork to save a network to stand alone HTML file:

library(magrittr)

simpleNetwork(networkData) %>% saveNetwork(file = 'Net1.html')

Note

networkD3 began as a port of d3Network package to the htmlwidgets framework. d3Network is no longer supported.

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Version

Install

install.packages('networkD3')

Monthly Downloads

18,863

Version

0.4.1

License

GPL (>= 3)

Issues

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Stars

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Maintainer

Christopher Gandrud

Last Published

April 14th, 2025

Functions in networkD3 (0.4.1)

networkD3-package

Tools for Creating D3 Network Graphs from R
forceNetwork

Create a D3 JavaScript force directed network graph.
diagonalNetwork

Create Reingold-Tilford Tree network diagrams.
as_treenetdf.list

Convert a nested list to treenetdf
igraph_to_networkD3

Function to convert igraph graph to a list suitable for networkD3
sankeyNetwork

Create a D3 JavaScript Sankey diagram
pkg_installed

Check if a package is installed
treeNetwork

Create collapsible tree network diagrams.
as_treenetdf.phylo

Phylo tree to treenetdf
radialNetwork

Create Reingold-Tilford Tree network diagrams.
treeNetwork-shiny

Shiny bindings for treeNetwork
simpleNetwork

Function for creating simple D3 JavaScript force directed network graphs.
saveNetwork

Save a network graph to an HTML file
as_treenetdf.data.frame

Convert a data.frame to a treenetdf
SchoolsJournals

Edge list of REF (2014) journal submissions for Politics and International Relations
as_treenetdf.igraph

Convert igraph tree to treenetdf
JS

Create character strings that will be evaluated as JavaScript
as_treenetdf.Node

data.tree to treenetdf
as_treenetdf.hclust

Convert hclust objects to treenetdf
as.radialNetwork

Convert an R hclust or dendrogram object into a radialNetwork list.
as_treenetdf

Convert one of numerous data types to treeNetwork's 'native' treenetdf form
MisNodes

Les Miserables character nodes
MisLinks

Les Miserables character links
as_treenetdf.tbl_graph

tbl_graph_to_treenetdf
chordNetworkOutput

Shiny bindings for networkD3 widgets
chordNetwork

Create Reingold-Tilford Tree network diagrams.
dendroNetwork

Create hierarchical cluster network diagrams.