<｜begin▁of▁sentence｜>### Instruction:
As a journal editor, you might encounter a scenario where you need to analyze the distribution of citation counts for published papers. Using the `FittedPowerLaw` class in the networkx library, you can fit a power law distribution to the citation data and retrieve the alpha parameter to understand the distribution's shape. This analysis can provide insights into the potential impact and influence of the published papers within your field.
### Response:
from powerlaw import FittedPowerLaw

# Given a data sample
sample_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# Fit a power law distribution to data
fitted_power_law = FittedPowerLaw(sample_data)

# Let's take a look at the alpha parameter of the distribution
print(fitted_power_law.alpha)
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