<｜begin▁of▁sentence｜>### Instruction:
As a dermatologist, I specialize in diagnosing and treating diseases, disorders, and conditions of the skin, hair, and nails. In this scenario, imagine you are a researcher looking to analyze a non-growing, undirected graph representing skin conditions in a population of 100 individuals. The graph should have 300 edges and follow a power-law degree distribution with an exponent of 2.5. However, it's important to construct the graph with no loops or multiple edges and without finite size correction. You can utilize Python's NetworkX library to generate such a graph.
### Response:
import igraph as ig

# Generate a graph with power-law degree distribution
g = ig.GraphBase.Static_Power_Law(n=100, m=300, exponent_out=2.5, exponent_in=-1, loops=False, multiple=False, finite_size_correction=False)

# Print the summary of the graph
g.summary()
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