<｜begin▁of▁sentence｜>### Instruction:
As a grant writer for a wildlife conservation organization, I need to determine the potential impact of introducing new habitats for endangered species in a connected network of 10 conservation areas. By using network analysis tools such as NetworkX, I aim to calculate the longest shortest path between any two conservation areas to understand the most effective routes for wildlife movement. This information will be crucial for designing interconnected habitats and corridors that support the diverse needs of endangered species. Can you suggest how to utilize the diameter function in NetworkX to assist in this analysis?
### Response:
import igraph as ig

# Create a graph example
vertices = 10
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (1, 6), (6, 7), (7, 8), (8, 9)]
g = ig.Graph(vertices, edges)

# Calculate the diameter
diameter = g.diameter(directed=False, unconn=False, weights=None)
print('The diameter of the graph is:', diameter)
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