<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on a project to revamp the corporate networking strategy for a client, aiming to streamline the intricate connections between different departments within their organization. They've provided you with data representing the current communication pathways, summarized as connections between nodes: (0, 1), (0, 2), (1, 3), (1, 4), (2, 5), and (2, 6), where node 0 serves as the central department from which all strategic operations are launched.

As the brand strategist tasked with analyzing the flow of information and optimizing the networking plan, you plan to use a methodical approach akin to the depth-first search algorithm to explore the company's network, starting from the central node 0. This will help you understand the sequence in which information is currently disseminated and highlight potential areas for improved connectivity.

For your next meeting with the client, could you demonstrate how you would navigate the organizational network by listing the order of departmental connections you'd encounter using this depth-first strategy? Keep in mind, while this request might sound technical, think of it like providing a roadmap for how the brand's narrative could be internally unfolded, starting from the central department and deep-diving through the layers of the company's structure.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6)])

# Use dfs_edges to iterate over edges in a depth-first-search
# starting from source node 0
edges_from_dfs = list(nx.dfs_edges(G, source=0))

# Print the edges visited during DFS
print(edges_from_dfs)
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