Fig. 12
Contribution of major datasets on link prediction. Impact of dataset removal on global transitivity and degree assortativity in subgraphs around human genes (1 hop) in Petagraph. Major datasets were removed one at a time to assess their contributions to graph connectivity and the resulting subgraphs were each evaluated for transitivity and assortativity coefficients using the R package igraph82. As Petagraph is a sparse graph, assortativity is globally negative in the [−1, 0) range. Therefore Assortativity is graphed as its negative reciprocal calculated as (−1/assortativity) where less assortative subgraphs have lower values. Dataset descriptions are found under the SAB column in Tables 3, 4.
