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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["plant_pol_kato"]
A bipartite network of plants and pollinators from Kyoto University Forest of Ashu, Japan, from 1984 to 1987. Edge weights represent frequency of interactions1
Name | Nodes | Edges | $\left<k\right>$ | $\sigma_k$ | $\lambda_h$ | $\tau$ | $r$ | $c$ | $\oslash$ | $S$ | Kind | Mode | NPs | EPs | gt | GraphML | GML | csv |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
plant_pol_kato | 772 | 1,206 | 3.12 | 9.25 | 9.60 | 10.02 | -0.30 | 0.00 | 8 | 0.99 | Undirected | Bipartite | idx pollinator pol_ge_sp plant_ge plant_sp | count | 23 KiB | 30 KiB | 26 KiB | 24 KiB |