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Edge-betweenness community detection

An alternative community detection method is edge-betweenness. In this exercise you will repeat the community detection of the karate club using this method and compare the results visually to the fast-greedy method.

This exercise is part of the course

Network Analysis in R

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Exercise instructions

  • Use the function edge.betweenness.community() on the graph object g to create the community igraph object gc.
  • Calculate the size and number of communities by using the function sizes on the community igraph object.
  • Plot each community plot next to each other using par(). The first plot should include the community object kc from the previous exercise. The second plot should include the community object gc.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Perform edge-betweenness community detection on network graph
gc = ___(g)

# Determine sizes of each community
___(___)

# Plot community networks determined by fast-greedy and edge-betweenness methods side-by-side
par(mfrow = c(1, 2)) 
plot(___, g)
plot(___, g)
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