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A network centrality method for the rating problem

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Supporting informtion for

“A network centrality method for the rating problem”

Yongli Li

Paolo Pin

Chong Wu

February 2015

Boxplots from the simulations

For the five sets of simulations discussed in Section 3 of the Main Text, we report the boxplots of all the 200 outcomes on each set of variables, for the NC method with β = 2/(λ++ N ), the SD method, and the simple average. On the y–axis we report all the cases, and on the x–axis we report the measures: Kendall’s tau for the simulations discussed in Section 3.1 (FiguresAtoD) and the difference between Kendall’s tau measures, that we call robustness, for the simulation discussed in Section 3.2 (FigureE). It is clear that there is a large variance and many realizations overlap, and this is why we show in the figures of the main text also the outcome of Student’s t–tests to check when these outcomes are statistically different.

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e A: F ul l boxplot of the simulation summarize d in Figur e 3 in the Main T ext, for the aver age, the SD metho d, and metho d with β = 2 / (λ + + N ).

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e B: F ul l boxplot of the simulation summarize d in Figur e 4 in the Main T ext, for the aver age, the SD metho d, and metho d with β = 2 / (λ + + N ).

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e C: F ul l boxplot of the simulation summarize d in Figur e 5 in the Main T ext, for the aver age, the SD metho d, and metho d with β = 2 / (λ + + N ).

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e D: F ul l boxplot of the simulation summarize d in Figur e 6 in the Main T ext, for the aver age, the SD metho d, and metho d with β = 2 / (λ + + N ).

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e E: F ul l boxplot of the simulation summarize d in Figur e 7 in the Main T ext, for the aver age, the SD metho d, and metho d with β = 2 / (λ + + N ).

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