<｜begin▁of▁sentence｜>### Instruction:
Imagine you're overseeing a social media campaign designed to showcase the growth and connectivity of a community. Picture two separate groups within this community: one is a larger, more structured group we'll call 'Family Tree One' (FT1), which has a solid foundation and branches out evenly, represented by a balanced binary tree of height 2 with the main influencer at the center, whom we'll refer to as 'Influencer Zero'. The second group, 'Family Tree Two' (FT2), is a burgeoning but equally balanced group, smaller in scale, symbolized by a height 1 binary tree with its lead social connector known as 'Influencer Four'.

Your task is to conceptualize a fresh campaign that unites these two dynamic groups under a brand-new initiative, spearheaded by a novel leading figure that we'll call 'Super Connector'. How would you visually represent the blending of FT1 and FT2 with 'Super Connector' at the helm in your promotional materials, while ensuring that the existing relationships within FT1 and FT2 are maintained and the network's overall harmony is preserved?

This creative concept isn't just theoretical; it's rooted in actual data that you'll use to illustrate the inclusive network. Your challenge is to seamlessly integrate these initially separate family groups into one big, interconnected community with 'Super Connector' guiding the way, making sure to keep the essence of your question intact without directly resolving it in your campaign pitch. Use your social media savviness to stimulate engagement and illustrate this merger in a visually appealing way that resonates with your audience.
### Response:
import networkx as nx

# Create two separate trees
T1 = nx.balanced_tree(2, 2, create_using=nx.DiGraph)
T2 = nx.balanced_tree(2, 1, create_using=nx.DiGraph)

# Set root nodes for T1 and T2 (normally the node with 0)
root_T1 = 0
root_T2 = 4

# Join the two trees into one with a new root
T3 = nx.join_trees([T1, T2], root=(root_T1, root_T2))

# Print the edges of the new tree
print(list(T3.edges))
<|EOT|>
