<｜begin▁of▁sentence｜>### Instruction:
Given an undirected graph with edge set [('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')], how can you convert it into a bipartite graph where one set of nodes represents the original nodes and the other set represents the maximal cliques using NetworkX?
### Response:
import networkx as nx
from networkx.algorithms.bipartite import make_clique_bipartite

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')])

# Generate the bipartite clique graph
H = make_clique_bipartite(G, create_using=nx.Graph())

# Print the bipartite sets of nodes
bottom_nodes, top_nodes = nx.bipartite.sets(H)
print('Bottom nodes:', bottom_nodes)
print('Top nodes:', top_nodes)

# Print the positions of nodes if available
if 'pos' in H.graph:
    for node, pos in H.graph['pos'].items():
        print(f'Node {node} has position {pos}')
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