Florida ecosystem wet

This network contains the carbon exchanges in the cypress wetlands of South Florida during the wet season. Nodes represent taxa and an an edge denotes that a taxon uses another taxon as food with a given trophic factor (feeding level).


Internal namefoodweb-baywet
NameFlorida ecosystem wet
Data sourcehttp://vlado.fmf.uni-lj.si/pub/networks/data/bio/foodweb/foodweb.htm
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Trophic network
Node meaningEntity
Edge meaningExchange
Network formatUnipartite, directed
Edge typePositive weights, no multiple edges
ReciprocalContains reciprocal edges
Directed cyclesContains directed cycles
LoopsDoes not contain loops


Size n =128
Volume m =2,106
Loop count l =0
Wedge count s =81,147
Claw count z =1,380,155
Cross count x =20,997,705
Triangle count t =8,437
Square count q =318,981
4-Tour count T4 =2,880,586
Maximum degree dmax =110
Maximum outdegree d+max =62
Maximum indegree dmax =110
Average degree d =32.906 2
Fill p =0.129 552
Size of LCC N =128
Size of LSCC Ns =103
Relative size of LSCC Nrs =0.804 688
Diameter δ =3
50-Percentile effective diameter δ0.5 =1.311 61
90-Percentile effective diameter δ0.9 =1.877 97
Median distance δM =2
Mean distance δm =1.725 93
Gini coefficient G =0.255 832
Relative edge distribution entropy Her =0.976 754
Power law exponent γ =1.375 34
Tail power law exponent γt =4.871 00
Tail power law exponent with p γ3 =4.871 00
p-value p =0.894 000
Outdegree tail power law exponent with p γ3,o =5.981 00
Outdegree p-value po =0.526 000
Indegree tail power law exponent with p γ3,i =4.551 00
Indegree p-value pi =0.340 000
Degree assortativity ρ =−0.111 663
Degree assortativity p-value pρ =5.441 65 × 10−13
In/outdegree correlation ρ± =−0.388 873
Clustering coefficient c =0.311 915
Directed clustering coefficient c± =0.336 953
Spectral norm α =593.416
Operator 2-norm ν =407.812
Cyclic eigenvalue π =164.603
Algebraic connectivity a =3.042 23 × 10−5
Spectral separation 1[A] / λ2[A]| =1.204 30
Reciprocity y =0.029 439 7
Non-bipartivity bA =0.494 702
Normalized non-bipartivity bN =0.446 582
Algebraic non-bipartivity χ =1.907 39
Spectral bipartite frustration bK =0.014 707 6
Controllability C =30
Relative controllability Cr =0.234 375


Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Double Laplacian graph drawing

Delaunay graph drawing

In/outdegree scatter plot

Edge weight/multiplicity distribution

Clustering coefficient distribution

Average neighbor degree distribution


Matrix decompositions plots



[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Robert E. Ulanowicz, Johanna J. Heymans, and Michael S. Egnotovich. Network analysis of trophic dynamics in South Florida ecosystems, FY 99: The graminoid ecosystem. Ann. Report to the United States Geological Service Biol. Resources Division Ref. No.[UMCES] CBL 00-0176, Chesapeake Biological Laboratory, Univ. of Maryland, 2000.