TABLE 5.

Jaccard index values corresponding to the networks shown in Figure 5B.

	j	P(J ≤ j)	P(J ≥ j)
Degree	0.389	0.77674	0.39149
Betweenness centrality	0.077	0.038537	0.995
Closeness centrality	0.000	0.132	1.000
Eigenvec. centrality	0.615	0.991	0.034655
Hub taxa	0.125	0.195	0.961

Index values j express the similarity of the sets of most central nodes and also of the sets of hub taxa between the two networks. “Most central” nodes are those with a centrality value above the empirical 75% quantile. Jaccard’s index is 0 if the sets are completely different and 1 for exactly equal sets. P (J ≤ j) is the probability that Jaccard’s index takes a value less than or equal to the calculated index j for the present total number of taxa in both sets and P (J ≥ j) is defined analogously. Jaccard index ranges from 0 (completely different) to 1 (sets equal).