<｜begin▁of▁sentence｜>### Instruction:
As a data scientist working with a research team in the field of healthcare, you may be interested in understanding the community structure within a network of healthcare professionals. For example, you may want to analyze the interactions and collaborations among nurses, physicians, and other healthcare providers in a hospital setting. 

To do this, you can use the VertexClustering.summary function in the networkx library to obtain and print a summary of the community structure within the network. This can help you identify groups of healthcare professionals who frequently work together, collaborate on patient care, or share common patients. By understanding these community structures, you can gain insights into the dynamics of interdisciplinary teamwork and communication patterns within the healthcare environment, ultimately leading to improved patient care and outcomes.
### Response:
import igraph as ig

# Load a graph
graph = ig.Graph.Famous('Zachary')

# Compute the community structure of the graph
communities = graph.community_edge_betweenness().as_clustering()

# Print the summary of the community structure
print(communities.summary())
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