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Table 3 The effect of normalization on the ranking.

From: Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities

Query Term Query Type Prominence Model Average No. Neighbors Average Consistent Neighbors Average Ratio Q(R) UROC (R)
   Hubs & Authorities 4.38 0.6 0.13 167 4879
   Hubs & Authorities(N) 7.64 2.58 0.52 705 23809
ubiquitin protein Eigenvector Centrality 4.38 0.6 0.13 167 4879
   Eigenvector Centrality(N) 1.04 0.9 0.88 307 7871
   PageRank 12.18 3.56 0.27 977 26021
   Hubs & Authorities 1.19 0.79 0.48 357 10086
   Hubs & Authorities(N) 1.19 0.79 0.48 357 10112
stromelysin protein Eigenvector Centrality 1.19 0.79 0.48 357 9912
   Eigenvector Centrality(N) 1.19 0.79 0.48 357 9057
   PageRank 1.19 0.79 0.48 357 11593
   Hubs & Authorities 5.22 1.08 0.25 317 6137
   Hubs & Authorities(N) 3.62 1.2 0.67 372 11947
cancer protein Eigenvector Centrality 5.2 0.9 0.21 245 5346
   Eigenvector Centrality(N) 1.24 0.98 0.86 321 8137
   PageRank 6.68 1.8 0.30 535 16082
   Hubs & Authorities 1.1 0.67 0.58 223 4520
   Hubs & Authorities(H) 1.1 0.67 0.58 223 4345
autoimmune protein Eigenvector Centrality 1.1 0.67 0.58 223 4520
   Eigenvector Centrality(H) 1.1 0.67 0.58 223 4830
   PageRank 1.1 0.67 0.58 223 4582
  1. For each model we repeated the computations with the unnormalized and the normalized (N) matrices. See Table 2 for details.