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. 2015 Mar 31;16(1):63. doi: 10.1186/s13059-015-0624-2

Table 1.

Hierarchical scores of eight directed networks

Network Nodes (n) Edges (n) Levels (n) 1-DR KHS GRC HS CHS PHS Significance a Reference
Worm neural 297 2,359 L = 4 0.184 0.186 0.133 2.805 2.364 2.707 1.60 (30.72) Watts et al. [45]
Political blogs 1,224 19,087 L = 3 0.487 0.514 0.130 3.044 3.177 2.972 2.23 (251.38) Adamic et al. [3]
Yeast TF 149 580 L = 4 0.559 0.611 0.381 4.675 3.869 4.330 1.97 (22.32) Harbison et al. [10]
Human TF 112 513 L = 4 0.631 0.718 0.336 7.087 5.608 5.848 3.15 (53.30) Gerstein et al. [23]
P2P file sharing 6,301 20,777 L = 4 0.486 0.772 0.628 4.348 5.878 2.401 1.71 (74.06) Ripeanu et al. [58]
Foodweb 63 612 L = 3 0.259 0.261 0.582 5.788 6.407 5.788 4.26 (190.38) Ulanowicz et al. [46]
Human kinase 373 2,171 L = 4 0.492 0.798 0.020 14.087 13.396 12.874 7.16 (275.89) Newman et al. [38]
Yeast kinase 94 200 L = 4 0.645 0.775 0.447 17.455 13.982 11.777 4.81 (41.73) Ptacek et al. [11]

aSignificance is calculated by comparing a network with 1,000 Erdos-Renyi random networks. The first number is the ratio of its HS to the average HS of the random networks. The second number in the parenthesis is the t-statistics of the HS. All networks listed in the table are significant (P <2e-16).

1-DR: 1-dyadic reciprocity; CHS: corrected hierarchy score; GRC: global reaching centrality; HS: hierarchy score; KHS: Krackhardt hierarchy score; PHS: probabilistic hierarchy score.