<｜begin▁of▁sentence｜>### Instruction:
Imagine we're working on a simulation to model communication patterns between spacecraft within a constellation. We're interested in understanding how a Zipfian distribution might represent the frequency at which certain spacecraft are contacted over others. For our model, we want to emulate a scenario where less frequently contacted spacecraft are reached with a probability that follows a Zipf's law distribution with an exponent of 2.0, ensuring that the minimum number of contacts for any spacecraft starts from 3. To maintain consistency in our simulations and to be able to replicate the results across various tests, we will use a random seed of 42. Could you reconfigure our communication simulation model to incorporate this Zipfian distribution for the contact frequencies of our spacecraft fleet?
### Response:
import networkx as nx
import json

# Set the seed for reproducibility
seed = 42

# Parameters for the Zipf distribution
alpha = 2.0
xmin = 3

# Generate a random value from the Zipf distribution
random_value = nx.utils.zipf_rv(alpha, xmin, seed=seed)

print('Random value from Zipf distribution:', random_value)
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