In this example, we will visualize different measures of centrality, using a large food web.

using EcologicalNetworks
using EcologicalNetworksPlots
using Plots
using Plots.PlotMeasures

We will work on a quantitative intertidal food web:

N = convert(BinaryNetwork, pajek()[:ChesUpper])

37×37 (String) unipartite ecological network (L: 206 - Bool)

We will then find a force-directed layout to visualize it:

I = initial(RandomInitialLayout, N)
for step in 1:200richness(N)
    position!(ForceAtlas2(1.2), I, N)
end

We can now show the different values of centrality on this plot:

Degree centrality

plot(I, N)
scatter!(I, N, nodefill=centrality_degree(N), c=:YlGnBu, aspectratio=1)

Katz centrality

plot(I, N)
scatter!(I, N, nodefill=centrality_katz(N), c=:YlGnBu, aspectratio=1)

Closeness centrality

plot(I, N)
scatter!(I, N, nodefill=centrality_closeness(N), c=:YlGnBu, aspectratio=1)

Harmonic centrality

plot(I, N)
scatter!(I, N, nodefill=centrality_harmonic(N), c=:YlGnBu, aspectratio=1)

Eigenvector centrality

plot(I, N)
scatter!(I, N, nodefill=centrality_eigenvector(N), c=:YlGnBu, aspectratio=1)