<｜begin▁of▁sentence｜>### Instruction:
As an anthropologist fascinated by the intricate connections within human societies, imagine you're investigating the multitude of ways in which social structures and relationships can be represented. You wish to utilize the NetworkX Graph Atlas as a metaphorical excavation site to uncover various small-scale social networks, each with their own unique interplays and ties, akin to the diverse cultures and social patterns you study. Could you delve into this digital compendium and extract an overview of the myriad of network configurations encapsulated within, specifically focusing on communities with no more than seven individuals?

In line with your research, I'm intrigued to hear a detailed anthropological interpretation of the social dynamics within the 10th configuration in this collection. Additionally, as a precursor to a broader analysis, could you first provide a handful of insights into the primary five configurations? These depictions might serve as the 'artifacts' from which you can draw parallels with real-world social structures. If any of these configurations are encapsulated within a GML file, please include the file name for further reference in your anthropological logs.
### Response:
import networkx as nx

# Retrieve the list of all graphs with up to seven nodes
atlas = nx.graph_atlas_g()

# Print information about a graph at a specific index
index = 10 # Selecting the 10th graph in the atlas as an example
G = atlas[index]
print(f'Graph at index {index} has {G.number_of_nodes()} nodes and {G.number_of_edges()} edges.')

# Display the first few graphs to see their details
for i, graph in enumerate(atlas[:5]):
  print(f'Graph {i}: Nodes={graph.number_of_nodes()}, Edges={graph.number_of_edges()}')
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