Uni/boundary-aware-centrality
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WIP: test relationship with boundary

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Yves Biener
2026-03-04 15:35:15 +01:00
parent b2edb8265b
commit 32dd37feea
1 changed files with 4 additions and 7 deletions
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11
comparison.py
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@@ -154,18 +154,15 @@ fig_graph.savefig("Pointcloud_graph.svg", format='svg')
fig = plt.figure(figsize=(15, 10)) fig = plt.figure(figsize=(15, 10))
axs = fig.subplots(2, 4) axs = fig.subplots(2, 4)
i = 0
for ax in axs: for ax in axs:
# TODO select corresponding centrality measure method # TODO select corresponding centrality measure method
apply(g, seed, weight, convex_hull, ax, closeness, "Closeness") apply(g, seed, weight, convex_hull, ax, closeness, "Closeness")
apply(g, seed, weight, convex_hull, ax, pagerank, "PageRank") apply(g, seed, weight, convex_hull, ax, pagerank, "PageRank")
apply(g, seed, weight, convex_hull, ax, betweeness, "Betweeness") apply(g, seed, weight, convex_hull, ax, betweeness, "Betweeness")
apply(g, seed, weight, convex_hull, ax, eigenvector, "Eigenvector") apply(g, seed, weight, convex_hull, ax, eigenvector, "Eigenvector")
apply(g, seed, weight, convex_hull, ax, katz, "Katz") apply(g, seed, weight, convex_hull, ax, katz, "Katz")
# TODO to implement apply(g, seed, weight, convex_hull, ax, hits, "Hits")
# - Laplacian apply(g, seed, weight, convex_hull, ax, leverage, "Leverage")
# - Leverage apply(g, seed, weight, convex_hull, ax, degree, "Degree")
# - Degree (seriously?)
i += 1
fig.savefig(f"Comparison_Pointcloud.svg", format='svg') fig.savefig(f"Comparison_Pointcloud.svg", format='svg')