<｜begin▁of▁sentence｜>### Instruction:
Imagine we're tasked with designing a network that mimics the intricate web of connections akin to a community in a mediation scenario, where information travels in efficient and sometimes unexpected pathways. Picture a circle of ten individuals (let's call them nodes for simplicity), each having a dialogue with four colleagues nearby. We aim to introduce an element of chance into these dialogues, akin to altering the dynamics of their interactions.

Now, to foster a more dynamic and interconnected community, we consider the possibility of each person potentially redirecting half of their conversations to someone else in the group, chosen at random. We're not just experimenting for the sake of change; rather, we'd like to ensure that, in the end, each individual can still trace a path to any other through their network of discussions, embodying the notion of a connected whole.

To make sure our experiment is reproducible and not left to arbitrary whim, we'll initialize our scenario with a predetermined randomness factor, analogous to setting our mediation room's clock to a specific time—in this case, the number '42.'

We'll give ourselves a fair chance to achieve this interconnectedness, trying various arrangements up to 100 times if necessary. Our goal is a network that not only reflects the small-world phenomenon but also achieves thorough connectivity resembling the ideal outcome of a successful mediation process.
### Response:
import networkx as nx

# Generate a connected Watts-Strogatz small-world graph
# n: The number of nodes
# k: Each node is joined with its `k` nearest neighbors
# p: The probability of rewiring each edge
# tries: The number of attempts to generate a connected graph
# seed: Seed for the random number generator (optional)
n = 10
k = 4
p = 0.5
tries = 100
seed = 42

connected_wsg = nx.connected_watts_strogatz_graph(n, k, p, tries, seed)

# Print nodes and edges of the graph
print('Nodes:', connected_wsg.nodes())
print('Edges:', connected_wsg.edges())
<|EOT|>
