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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

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Exercise instructions

  • Use the function membership() on the community igraph object kc to generate a vector of community membership for each vertex.
  • Check how many communities there are using the function sizes() on the community igraph object kc.
  • Use set_vertex_attr() to add a vertex attribute called color to the graph object g. The values to add are the colors based on the membership assigned to object i.
  • Plot the three-dimensionsal graph by using the function graphjs() on the network object g.

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
___(___)
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