<｜begin▁of▁sentence｜>### Instruction:
In the intricate web of linguistic communications, consider a network of conversations among a group of scholars, each individual represented by a node and their dialogues by the threads that connect them. The links within this network are as follows: a discourse twines between scholar 1 and scholar 2, another between 2 and 3, a third loops back to connect 3 and 1, further conversation extends to include 4 in dialogue with 3, then flows to 5 from 4 and finally arcs to reconnect 5 with 3. Within this complex tapestry of exchange, we endeavor to distill the core of most interconnected discourse. Could we translate these interactions into a NetworkX framework to elucidate which connections form the backbone of this discussion, specifically those that would constitute the highly intertwined 3-truss structure within our scholarly symposium? How might one go about revealing these pivotal communicative pathways?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 1), (3, 4), (4, 5), (5, 3)])

# Compute the 3-truss of the graph
k = 3
truss = nx.k_truss(G, k)

# Print the edges of the k-truss
print('The edges of the {}-truss:'.format(k), list(truss.edges()))
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