<｜begin▁of▁sentence｜>### Instruction:
Certainly, imagine you're consulting on a case where we suspect that fraudsters might be using a sophisticated network akin to the complex structure of a platonic icosahedral graph. To understand the resilience of their communication channels, we need to analyze a potential weak point in their network.

In this context, could you evaluate the robustness of their communication pathway by determining the local edge connectivity within their network, specifically focusing on the connection between their identified leader, code-named 'Node 0', and another key player referred to as 'Node 6'? This will help us assess how many separate connections could be severed before their communication is disrupted. 

Keep in mind that to proceed with this analysis, no specific file such as a 'gml file' has been mentioned - the data is conceptual, integrated within the scenario I provided.
### Response:
import networkx as nx
from networkx.algorithms.connectivity import local_edge_connectivity
G = nx.icosahedral_graph()
connectivity = local_edge_connectivity(G, 0, 6)
print('Local edge connectivity from node 0 to 6 is:', connectivity)
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