<｜begin▁of▁sentence｜>### Instruction:
As a construction estimator tasked with creating an accurate projection for a digital infrastructure project, specifically the building of a virtual network model to represent an Autonomous System similar to the Internet with about 1500 points of connection, how could you employ NetworkX to craft a hypothetical, non-directed web of connections? This digital blueprint needs to weave in characteristics for each junction that classify its purpose and influence within the whole system (akin to distinguishing between major contractors and subcontractors, clients, or material suppliers). Additionally, the schematic must include two-way communication pathways that mirror the exchange of ADV (Advanced Digital Verification) signals across the network. 

To encapsulate this request in tangible assets for the blueprint development phase, could you articulate the process for generating such a model while ensuring that it accurately captures the complex nature of an extensive digital network in the construction estimation process? Please fold such details into a work scenario that maintains the essence of the initial inquiry. If your network outline is sourced from or saved as a '.gml' graph structure, please specify the file handle accordingly.
### Response:
import networkx as nx

# Generating a random undirected graph resembling the Internet AS network
G = nx.random_internet_as_graph(n=1500, seed=42)

# Getting information about the graph
print(nx.info(G))

# Optionally, visualize the graph
# import matplotlib.pyplot as plt
# nx.draw(G, with_labels=True)
# plt.show()
<|EOT|>
