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masterthesis/codes/node-ranking
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Valentin Brandl d0a1843096 Content
2022-04-07 10:33:46 +02:00
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avg_out
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churn_rank
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.envrc
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.gitignore
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0.5_1_pr.txt
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0.5_1_sr.txt
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0.5_2_pr.txt
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0.5_2_sr.txt
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0.5_3_pr.txt
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0.5_3_sr.txt
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0.5_4_pr.txt
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0.5_4_sr.txt
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0.5_5_pr.txt
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0.5_5_sr.txt
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0.25_1_pr.txt
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0.25_1_sr.txt
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0.25_2_pr.txt
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0.25_2_sr.txt
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0.25_3_pr.txt
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0.25_3_sr.txt
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0.25_4_pr.txt
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0.25_4_sr.txt
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0.25_5_pr.txt
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0.25_5_sr.txt
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0.75_1_pr.txt
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0.75_1_sr.txt
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0.75_2_pr.txt
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0.75_2_sr.txt
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0.75_3_pr.txt
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0.75_3_sr.txt
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0.75_4_pr.txt
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0.75_4_sr.txt
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0.75_5_pr.txt
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0.75_5_sr.txt
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20_pr_percentiles.png
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20_sr_percentiles.png
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30_pr_percentiles.png
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30_sr_percentiles.png
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40_pr_percentiles.png
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40_sr_percentiles.png
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50_pr_percentiles.png
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50_sr_percentiles.png
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60_pr_percentiles.png
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60_sr_percentiles.png
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70_pr_percentiles.png
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70_sr_percentiles.png
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avgs
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count.py
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dist-edges_with-churned.csv
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dist-edges.csv
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e.txt
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node_ranking.py
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partitioned_avg.py
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plot.py
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rank_with_churn_edges_plot.py
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rank_with_churn_edges.py
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requirements.txt
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shell.nix
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sorted.csv
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