networkD3 (version 0.2.13)

igraph_to_networkD3: Function to convert igraph graph to a list suitable for networkD3

Description

Function to convert igraph graph to a list suitable for networkD3

Usage

igraph_to_networkD3(g, group, what = "both")

Arguments

g
an igraph class graph object
group
an object that contains node group values, for example, those created with igraph's membership function.
what
a character string specifying what to return. If what = 'links' or what = 'nodes' only the links or nodes are returned as data frames, respectively. If what = 'both' then both data frames will be return in a list.

Value

A list of link and node data frames or only the link or node data frames.

Examples

Run this code
# 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')

## Not run: 
# # Example with data from data frame
# # Load data
# ## Original data from http://results.ref.ac.uk/DownloadSubmissions/ByUoa/21
# data('SchoolsJournals')
# 
# # Convert to igraph
# SchoolsJournals <- graph.data.frame(SchoolsJournals, directed = FALSE)
# 
# # Remove duplicate edges
# SchoolsJournals <- simplify(SchoolsJournals)
# 
# # Find group membership
# wt <- cluster_walktrap(SchoolsJournals, steps = 6)
# members <- membership(wt)
# 
# # Convert igraph to list for networkD3
# sj_list <- igraph_to_networkD3(SchoolsJournals, group = members)
# 
# # Plot as a forceDirected Network
# forceNetwork(Links = sj_list$links, Nodes = sj_list$nodes, Source = 'source',
#              Target = 'target', NodeID = 'name', Group = 'group',
#              zoom = TRUE, linkDistance = 200)
# ## End(Not run)

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