<｜begin▁of▁sentence｜>### Instruction:
As a silviculturist managing a large timberlands area, you have been tasked with analyzing the interconnectedness of the different tree species within the forest. You have collected data on the neighboring relationships among different species of trees, which can be presented as a graph with edges connecting the neighboring trees. To better understand the clustering of trees in the forest, you are looking to use the `transitivity_avglocal_undirected` function available in the NetworkX library to calculate the average local transitivity of the interconnected tree graph. This analysis will provide valuable insights into the cohesive clustering of tree species within the forest ecosystem, aiding in sustainable forestry management and conservation efforts.
### Response:
from igraph import Graph

# Create a graph
edges = [(0, 1), (1, 2), (2, 3), (3, 0), (0, 2), (1, 3)]
g = Graph(edges)

# Calculate the average local transitivity
avg_transitivity = g.transitivity_avglocal_undirected(mode='zero')

print('Average local transitivity:', avg_transitivity)
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