3D community network graph
Finally in this exercise you will create an interactive threejs plot with the vertices based on their community membership as produced by the fast-greedy community detection method.
This exercise is part of the course
Network Analysis in R
Exercise instructions
- Use the function
membership()
on the community igraph objectkc
to generate a vector of community membership for each vertex. - Check how many communities there are using the function
sizes()
on the community igraph objectkc
. - Use
set_vertex_attr()
to add a vertex attribute calledcolor
to the graph objectg
. The values to add are the colors based on the membership assigned to objecti
. - Plot the three-dimensionsal graph by using the function
graphjs()
on the network objectg
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create an object 'i' containin the memberships of the fast-greedy community detection
i <- ___(kc)
# Check the number of different communities
___(kc)
# Add a color attribute to each vertex, setting the vertex color based on community membership
g <- ___(___, "___", value = c("yellow", "blue", "red")[i])
# Plot the graph using threejs
___(___)