<｜begin▁of▁sentence｜>### Instruction:
Imagine you have been tasked with analyzing the Krackhardt Kite graph, which represents a compact social network of 10 individuals, to identify potential points of vulnerability and influence within the network. To streamline your analysis process, you want to create a structured data file, specifically in JSON format, that delineates the network's topology.

In this JSON file, you wish to ensure that each individual within the network (represented by a node) has a designated 'id' and 'label'. Additionally, the connections or interactions between these individuals (represented by edges) should also be clearly defined with properties such as 'source' and 'target' to represent the direction of the relationship, and a 'label' for potential categorization or description of the connection.

To achieve this, how would you go about constructing a JSON representation of the Krackhardt Kite graph that meticulously incorporates these elements? If you could also encapsulate this in a `.gml` file, kindly specify this in your scenario. Your expertise as an ethical hacker can provide a methodological approach in extracting the relevant data to bolster the network's defense mechanisms.
### Response:
import networkx as nx

# Generate the Krackhardt Kite Graph
g = nx.krackhardt_kite_graph()

# Prepare the JSON data
graph_nodes = [{'id': n, 'label': g.nodes[n]} for n in g.nodes()]
graph_edges = [{'source': u, 'target': v, 'label': '{}-{}'.format(u, v)} for u, v in g.edges()]
graph_json = {'graph nodes': graph_nodes, 'graph edges': graph_edges}

# Display the JSON object
print(graph_json)
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