<｜begin▁of▁sentence｜>### Instruction:
Given a famous social network graph, how can you use the Clustering class in igraph to perform community detection and analyze the resulting clusters?
### Response:
import igraph as ig

# Assume we have the graph
graph = ig.Graph.Famous('Zachary')

# Perform community detection using the edge betweenness method
clustering = graph.community_edge_betweenness().as_clustering()

# Print the number of clusters
print(len(clustering))

# Print the members of each cluster
for idx, cluster in enumerate(clustering):
    print(f'Cluster {idx}:', cluster)

# Print the size of the first cluster
print('Size of first cluster:', clustering.size(0))

# Print a summary of the clustering
echo = ig.summary(clustering, verbosity=1)
print(echo)
<|EOT|>
