masterthesis/codes/node-ranking/churn_rank/50_edges_1619344800.0.txt

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2022-04-05 10:23:45 +02:00
bucket: 2021-04-25 12:00:00+02:00
avg_out: 98.02857142857142
min_out: (RankedNode(Node(1.34.116.226, 9319), 0.5), 0)
max_out: (RankedNode(Node(18.156.165.193, 9796), 0.5), 200)
known_out: Node(34.204.196.211, 9796) 50
2022-04-07 10:33:46 +02:00
1 & 0.32142857 & 0.40859141 & 0.18763268 & 0.24515485 \\
2 & 0.32142857 & 0.40859141 & 0.18763268 & 0.24515485 \\
3 & 0.26029723 & 0.32985224 & 0.15195198 & 0.19791134 \\
4 & 0.26029723 & 0.32985224 & 0.15195198 & 0.19791134 \\
5 & 0.21074808 & 0.26721308 & 0.12302559 & 0.16032785 \\
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SR0(0.5): Percentile: 0.00019882704926143608: 10
SR0(0.5): Percentile: 0.010127409774619912: 20
SR0(0.5): Percentile: 0.22004413216452434: 30
SR0(0.5): Percentile: 0.23175782955259816: 40
SR0(0.5): Percentile: 0.23924322142621968: 50
SR0(0.5): Percentile: 0.24543650891667002: 60
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SR2(0.5): Percentile: 0.00016024257937500135: 10
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SR3(0.5): Percentile: 0.00016024257937500135: 10
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SR3(0.5): Percentile: 0.22425995274899796: 99
SR4(0.5): Percentile: 0.0001303552290890441: 10
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SR4(0.5): Percentile: 0.16538303801706497: 70
SR4(0.5): Percentile: 0.1689827956037488: 80
SR4(0.5): Percentile: 0.1724951012592476: 90
SR4(0.5): Percentile: 0.1757143498587998: 95
SR4(0.5): Percentile: 0.18149874037616925: 99
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PR0(0.5): Percentile: 0.010464157903658476: 10
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PR0(0.5): Percentile: 0.45156177607085857: 99
PR1(0.5): Percentile: 0.010464157903658476: 10
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PR1(0.5): Percentile: 0.4040859337444479: 50
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PR1(0.5): Percentile: 0.45156177607085857: 99
PR2(0.5): Percentile: 0.008481682951155162: 10
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PR2(0.5): Percentile: 0.3530624789207535: 95
PR2(0.5): Percentile: 0.35964886361315895: 99
PR3(0.5): Percentile: 0.008481682951155162: 10
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PR3(0.5): Percentile: 0.3530624789207535: 95
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PR4(0.5): Percentile: 0.006892586591727113: 10
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PR4(0.5): Percentile: 0.2654983455308445: 50
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PR4(0.5): Percentile: 0.28576662975054873: 95
PR4(0.5): Percentile: 0.2910907049733873: 99
2022-04-07 19:34:48 +02:00
avg_out: 98.02857142857142
avg_in: 98.02857142857142
min_in: (RankedNode(Node(1.175.24.221, 7677), 0.5), 1)
max_in: (RankedNode(Node(151.106.40.69, 6645), 0.5), 132)