Resolution:
## Figure 3.
Simulated random networks. Behavior of specialization measures in simulated random networks. Each point represents
one matrix with random associations, based on specific row and column totals that
follow a lognormal distribution. The size of squared matrices in (A) increased from
2 × 2 to 200 × 200. In (B), only the number of rows changed, while the number of columns
was fixed at 20, rectangular matrices thus increased from 2 × 20 to 200 × 20. In (C),
the network size was fixed at 20 × 20. The total number of interactions (m) increased with matrix size in (A), where each species had on average 20 individuals.
In (B), m was fixed at 4000, resulting in a reduced interaction density for larger matrices.
In (C), m increased from 20 to 4000. The index H_{2}' and connectance C are specialization measures of the whole matrix and thus reciprocal, while the average
number of links (
), and weighted mean standardized Kullback-Leibler distance (<d'>) are given for all columns (rows give a similar pattern).
Blüthgen |