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Table 2 Correlations and topological properties of the co-occurrence network analysis derived from widespread methane hotspots. The networks are given in the Additional file 9: Figure S8

From: The methane-driven interaction network in terrestrial methane hotspots

Network properties

Paddy soil

Landfill cover

Pristine peatland

Restored peatland

Riparian soil

13C

UnlabelledC

13C

UnlabelledC

13C

UnlabelledC

13C

UnlabelledC

13C

UnlabelledC

Number of nodesa

299

536

329

655

344

622

258

681

737

667

Number of edgesb

980

2839

2078

8899

1684

4219

846

6918

10,003

6261

Positive edgesc

805 (82%)

2149 (76%)

1341 (64%)

5242 (59%)

1026 (61%)

2740 (65%)

558 (66%)

4269 (62%)

7631 (76%)

4785 (76%)

Negative edgesd

175 (18%)

690 (24%)

737 (36%)

3657 (41%)

658 (39%)

1479 (35%)

288 (34%)

2649 (38%)

2372 (24%)

1476 (24%)

Met/Met

78 (8%)

1 (0.3%)

18 (1%)

49 (0.5%)

3 (0.2%)

8 (0.5%)

19 (2.2%)

8 (0.1%)

970 (9.5%)

6 (0.1%)

Met/non-Met

318 (32%)

78 (2.7%)

365 (17%)

188 (2.5%)

177 (10.5%)

250 (5.5%)

189 (22.4%)

441 (6.9%)

3707 (37%)

331 (4.9%)

Non-Met/non-Met

584 (60%)

2760 (97%)

1695 (82%)

8662 (97%)

1504 (89.3%)

3961 (94%)

638 (75.4%)

6469 (93%)

5326 (53.5%)

5924 (95%)

Modularitye

0.817

1.166

1.557

2.067

2.316

1.734

1.812

1.894

0.692

0.992

Number of communitiesf

55

91

32

30

39

67

38

40

19

74

Network diameterg

16

14

10

10

11

10

11

11

12

10

Average path lengthh

5.913

5.803

3.969

3.607

4.402

4.372

5.01

4.228

4.201

4.433

Average degreei

6.55

10.59

12.63

27.173

9.79

13.566

6.55

20.317

27.14

18.774

Av. clustering coefficientj

0.365

0.416

0.409

0.418

0.413

0.397

0.397

0.413

0.319

0.345

  1. Met/Met correlation within methanotrophs, Met/non-Met correlation between methanotrophs and non-methanotrophs, Non-met/non-Met correlation between non-methanotrphs
  2. aMicrobial taxon (at genus level) with at least one significant (p < 0.01) and strong (SparCC > 0.8 or < −0.8) correlation;
  3. bNumber of connections/correlations obtained by SparCC analysis;
  4. cSparCC positive correlation (> 0.7 with P < 0.01);
  5. dSparCC negative correlation (< -0.7 with P < 0.01);
  6. eThe capability of the nodes to form highly connected communities, that is, a structure with high density of between nodes connections (inferred by Gephi);
  7. fA community is defined as a group of nodes densely connected internally (Gephi);
  8. gThe longest distance between nodes in the network, measured in number of edges (Gephi);
  9. hAverage network distance between all pair of nodes or the average length off all edges in the network (Gephi);
  10. iThe average number of connections per node in the network, that is, the node connectivity (Gephi);
  11. jHow nodes are embedded in their neighborhood and the degree to which they tend to cluster together (Gephi)