<｜begin▁of▁sentence｜>### Instruction:
As a medical researcher working on understanding the spread of illnesses within a community, you might be interested in calculating the average local transitivity of a network representing the interactions between individuals. This measure can provide insights into the likelihood that a person's immediate connections are also connected to each other, which is valuable in studying the potential for the spread of contagious diseases. If you have data on the social interactions within a population, you can use networkx, a Python package for the creation, manipulation, and study of complex networks, to compute the average local transitivity (clustering coefficient) of the network.
### Response:
import igraph as ig

# Create a sample undirected graph
g = ig.Graph.Full(5)

# Calculate the average local transitivity
avg_transitivity = g.transitivity_avglocal_undirected()
print('Average Local Transitivity:', avg_transitivity)
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