Florida ecosystem dry

This network contains the carbon exchanges in the cypress wetlands of South Florida during the dry 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-baydry
NameFlorida ecosystem dry
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 =2,137
Loop count l =0
Wedge count s =83,185
Claw count z =1,414,104
Cross count x =21,386,699
Triangle count t =8,715
Square count q =335,189
4-Tour count T4 =3,018,464
Maximum degree dmax =110
Maximum outdegree d+max =63
Maximum indegree dmax =110
Average degree d =33.390 6
Fill p =0.131 459
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 =1.307 91
90-Percentile effective diameter δ0.9 =1.877 53
Median distance δM =2
Mean distance δm =1.722 26
Gini coefficient G =0.253 663
Balanced inequality ratio P =0.413 430
Outdegree balanced inequality ratio P+ =0.337 857
Indegree balanced inequality ratio P =0.342 068
Relative edge distribution entropy Her =0.977 136
Power law exponent γ =1.373 21
Tail power law exponent γt =5.021 00
Tail power law exponent with p γ3 =5.021 00
p-value p =0.951 000
Outdegree tail power law exponent with p γ3,o =5.931 00
Outdegree p-value po =0.450 000
Indegree tail power law exponent with p γ3,i =3.531 00
Indegree p-value pi =0.100 000
Degree assortativity ρ =−0.104 372
Degree assortativity p-value pρ =1.119 24 × 10−11
In/outdegree correlation ρ± =−0.386 098
Clustering coefficient c =0.314 299
Directed clustering coefficient c± =0.339 695
Spectral norm α =435.201
Operator 2-norm ν =347.139
Cyclic eigenvalue π =65.098 2
Algebraic connectivity a =2.338 96 × 10−5
Spectral separation 1[A] / λ2[A]| =1.104 37
Reciprocity y =0.029 012 6
Non-bipartivity bA =0.490 948
Normalized non-bipartivity bN =0.445 053
Algebraic non-bipartivity χ =1.906 87
Spectral bipartite frustration bK =0.014 487 1
Controllability C =29
Relative controllability Cr =0.226 562


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.