Figure 5:

(A) Degree distributions of networks with and without degree bias can be very different. Data on PPI and TF-TG were split between literature-derived and systematically derived networks. In both cases, the networks exhibit large differences in degree distribution. Coauthorship relationship networks split by date of first coauthorship roughly share their degree distributions. (B) Comparison of individual node degrees between different networks. Not only are the overall degree distributions different, but individual nodes can have systematically different degrees between 2 networks. Uniform random sampling produces linearly correlated node degree, while nonrandom sampling produces noncorrelated degree. Systematically derived networks are not uniformly sampled from literature-derived networks or vice versa. Seventy percent of literature edges were sampled with uniform probability for the “Subsampled holdout” network.