<｜begin▁of▁sentence｜>### Instruction:
Imagine you're preparing a lesson plan that involves teaching your students about the concept of exploring connections in social networks using graphs. Let's say, to bring this to life, you've crafted a social network where each student in a hypothetical class is represented as a node, and the friendships between them are the edges, with the following relationships represented as pairs: (0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6).

In this lesson, the student labeled as "0" is the starting point. You wish to create an activity where the class discovers the network of acquaintances that start from student "0" and extend to friends and friends-of-friends, but only up to two levels deep. To structure this activity, you need a tool that can help you extract a dictionary showing each student and who they would directly introduce in this friendship exploration, but you want to keep the investigation simple by limiting the connections to just two degrees of separation.

Could you reformulate an activity description that shows how to obtain such a dictionary detailing the direct successors in a breadth-first search from the student "0" up to a depth of two, which you will later use to facilitate the in-class exploration about connections in social networks?
### Response:
import networkx as nx
G = nx.Graph()
G.add_edges_from([(0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6)])
bfs_succ = dict(nx.bfs_successors(G, source=0, depth_limit=2))
print(bfs_succ)
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