<｜begin▁of▁sentence｜>### Instruction:
As a data analyst, you're tasked with analyzing network data from a company's communication infrastructure. Specifically, you need to work with a Geometric Random Graph with 100 vertices representing employees and a radius of 0.2 representing the connectivity threshold of their communication. Using the maximal_cliques function in the networkx library, you need to find all maximal cliques with a size ranging from 2 to 5. This analysis will help identify groups of employees who frequently communicate with each other, potentially providing insights for team collaboration and network optimization.
### Response:
from igraph import GraphBase

# Parameters for maximal cliques
min_size = 2  # Minimum size of maximal clique
cutoff = 5   # Maximum size of maximal clique

graph = GraphBase.GRG(100, 0.2)  # Generate a geometric random graph
maximal_cliques = graph.maximal_cliques(min_size, cutoff)

print('Maximal cliques (size 2 to 5):', maximal_cliques)
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