Arbitrary connectivity #245
bsureshkrishna
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Sorry I missed this, I hadn't used the discussions before. You can do long distance connectivity (https://github.com/cesaraustralia/Dispersal.jl) with various kinds of jumps. It can make sense if they are all on a grid, and you also need to work with local neighborhoods. But if you are only doing long distance jumps, you may want to do that on a graph. This human driven dispersal example calculates a truncated tail of destinations with a distrubiont and umps to them randomly: https://github.com/cesaraustralia/Dispersal.jl/blob/main/src/human.jl. Its a pretty fast way to do that and worked will in our simulations: |
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Hello, very naively, and at a high level, is this package potentially a good solution if one is interested not in spread that happens locally over a map, with units likely to influence some of their neighbours more than far away units, but instead is interested in more arbitrary, long-distance connectivity (like in a sheet-like neural network of neurons ?)
Thanks !
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