<｜begin▁of▁sentence｜>### Instruction:
As a content editor, you've received a manuscript from a researcher containing a dataset of observed occurrences of a particular phenomenon in a network. The researcher is interested in determining if the data follows a power-law distribution. They have asked if you can use the power_law_fit function from the NetworkX library to analyze the data and find the best fitting parameters such as the exponent and the lower bound (xmin) for the power-law distribution.
### Response:
import igraph as ig

# Empirical data
empirical_data = [5, 2, 3, 7, 1, 2, 3, 2, 3, 5, 4, 5, 2, 2, 4, 6]

# Perform power-law fit
fit_result = ig.power_law_fit(empirical_data, xmin=None, method='auto', p_precision=0.01)

# Print the results
print(fit_result)
<|EOT|>
