Attribute | Control | CS | ADE | CS + ADE |
|---|
Nodesa | 423 | 446 | 439 | 454 |
Edgesb | 924 | 6123 | 26,505 | 1349 |
Positive edgesc | 56.5% | 42.2% | 57.6% | 31.0% |
Negative edgesd | 43.5% | 57.8% | 42.4% | 69.0% |
Average degreee | 4.37 | 27.46 | 120.75 | 5.94 |
Average path lengthf | 3.86 | 1,76 | 1.39 | 3.02 |
Network diameterg | 8.00 | 3,00 | 2.00 | 6.00 |
Clustering coefficienth | 0.02 | 0.08 | 0.32 | 0.01 |
Densityi | 0.01 | 0.06 | 0.28 | 0.01 |
Heterogeneityj | 0.76 | 0.38 | 0.27 | 0.52 |
Centralizationk | 0.09 | 0.10 | 0.21 | 0.04 |
- aMicrobial taxon (at genus level) with at least one significant (p < 0.001) and strong correlation (> 0.7 or < − 0.7)
- bNumber of connections/correlations obtained by the SpiecEasi algorithm
- cPercentage of SpiecEasi-positive correlation (> 0.7 with P < 0.001)
- dPercentage of SpiecEasi-negative correlation ( < − 0.7 with P < 0.001)
- eThe average number of connections per node in the network, the node connectivity
- fAverage network distance between all pairs of nodes or the average length of all edges in the network
- gThe longest distance between nodes in the network, measured in the number of edges
- hHow nodes are embedded in their neighborhood and the degree to which they tend to cluster together
- iThe degree of interconnectedness or the number of connections within the network
- jThe similarity or sameness of attributes among connected taxa
- kThe influence concentration using degree, closeness, and betweenness centrality metrics
