def show_different_hypergraphs(n=10, k=3, parts=10):
for fraction in np.linspace(0, 1, parts)[1:]:
plt.figure(figsize=(6, 6))
g = uniform_hypergraph(n=n, k=k, number_of_edges=int(n * fraction))
G = convert_to_nx_bipartite_graph(g.nodes(), g.hyper_edges())
utils.plot_bipartite_graph(G, *utils.hypergraph_to_bipartite_parts(G))
hyper_G = convert_to_custom_hyper_G(g.nodes(), g.hyper_edges())
plt.figure(figsize=(6, 6))
nx.draw(hyper_G, node_size=3000, cmap=plt.cm.Blues, alpha=0.6)
plt.show()
def show_different_hypergraphs(n=10, k=3, parts=10):
for fraction in np.linspace(0, 1, parts)[1:]:
plt.figure(figsize=(6, 6))
g = uniform_hypergraph(n=n, k=k,
number_of_edges=int(n * fraction))
G = convert_to_nx_bipartite_graph(g.nodes(), g.hyper_edges())
utils.plot_bipartite_graph(G, *utils.hypergraph_to_bipartite_parts(G))
hyper_G = convert_to_custom_hyper_G(g.nodes(), g.hyper_edges())
plt.figure(figsize=(6, 6))
nx.draw(hyper_G,
node_size=3000, cmap=plt.cm.Blues, alpha=0.6)
plt.show()
def plot_different_representations(nodes, hyperedges):
print("Drawing different representations of hypergraph")
print("Bipartite graph")
nx_bipartite = converters.convert_to_nx_bipartite_graph(nodes, hyperedges)
plot_bipartite_graph(nx_bipartite,
*hypergraph_to_bipartite_parts(nx_bipartite))
print("Graph of hypereges as nodes")
custom_hyper_g = converters.convert_to_custom_hyper_G(nodes, hyperedges)
plt.figure()
nx.draw(custom_hyper_g)
print("Clique graph")
clique_graph = converters.convert_to_clique_graph(nodes, hyperedges)
plt.figure()
nx.draw(clique_graph)
def plot_different_representations(nodes, hyperedges):
print("Drawing different representations of hypergraph")
print("Bipartite graph")
nx_bipartite = converters.convert_to_nx_bipartite_graph(nodes, hyperedges)
plot_bipartite_graph(nx_bipartite,
*hypergraph_to_bipartite_parts(nx_bipartite))
print("Graph of hypereges as nodes")
custom_hyper_g = converters.convert_to_custom_hyper_G(nodes, hyperedges)
plt.figure()
nx.draw(custom_hyper_g)
print("Clique graph")
clique_graph = converters.convert_to_clique_graph(nodes, hyperedges)
plt.figure()
nx.draw(clique_graph)
