<｜begin▁of▁sentence｜>### Instruction:
Imagine yourself as a celebrated author crafting a story set in a mystical land where knowledge is formed into a vast network of towering trees in an enchanted forest—each tree representing a node and the twisting branches their connections. Now, envision that your narrative requires a peculiar kind of orchard—a Cograph Grove, where each tree is either a solitary entity or bound to other trees in a harmonious coparent relationship, reflecting a binary structure of alliances that grow deeper with each level. Your task is to capture a snapshot of this woodland with an exact count of arboreal members and a predetermined depth of binary relations that span four intricate strata.

With the gift of reproducibility gifted upon you by a magical seed numbered 42, your challenge lies in conjuring this Cograph Grove, ensuring it can be faithfully replanted in any other enchanted script. The final depiction of this grove should be carefully encoded into an ancient and wise format—the JSON scroll—so that fellow tale spinners and visual sorcerers may bring your vision to life in their realms or manipulate the trees and branches for tales of their own.

In your writer's ledger or scribe's journal, how would you inscribe the instructions to manifest such a grove and transmute its existence into the JSON scroll for future recounting and manipulation, without altering the essence of this creative endeavor?
### Response:
import networkx as nx

# Let's create a random cograph with 16 (2^4) nodes
n = 4
seed = 42

# Generate the random cograph
G = nx.random_cograph(n, seed=seed)

# Access the nodes and edges
nodes = G.nodes()
edges = G.edges()

# Create the JSON object representing the graph
graph_nodes = [{'id': node, 'label': 'Node {}'.format(node)} for node in nodes]
graph_edges = [{'source': edge[0], 'target': edge[1], 'label': 'Edge from {} to {}'.format(edge[0], edge[1])} for edge in edges]

graph_json = {'graph nodes': graph_nodes, 'graph edges': graph_edges}

# Print the graph in JSON format
print(graph_json)
<|EOT|>
