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. 2020 Jun 22;1(5):100052. doi: 10.1016/j.patter.2020.100052

Figure 5.

Figure 5

The Association of ClusterRank and Degree Centrality with Neighborhood Connectivity and Local H Index, Respectively, in 200 Networks

(A) Statistical significance of the dependence of ClusterRank and neighborhood connectivity on each other based on two different dependence tests, including CANOVA and Hoeffding, across all networks.

(B) Descriptive dependence of ClusterRank and neighborhood connectivity on each other based on three different tests, including Hoeffding, MIC, and NNS, across all networks.

(C) Statistical significance of the dependence of degree centrality and local H index on each other based on two different dependence tests including CANOVA and Hoeffding, across all networks.

(D) Descriptive dependence of degree centrality and local H index on each other based on three different tests, including Hoeffding, MIC, and NNS, across all networks.

Canova, continuous analysis of variance; CR, ClusterRank; DC, degree centrality; LH index, local H index; MIC, maximum information coefficient; NC, neighborhood connectivity; NNS, non-linear non-parametric statistic.