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Network algorithms

$20-75 USD

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Publicado hace más de 7 años

$20-75 USD

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Given an list of links FROM to TO, we wish to have a output list of all networks present in the input. We automatically reject all bid spam. In order to be considered for this project, answer the following questions: Which development language do you plan to use? Which algorithm(s) is (are) suitable for providing the solution? Provide a small example output. No code, just an example of the output you envision.
ID del proyecto: 12999844

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not a bot. know graph stuff more or less. can use python/networkx for a job. this will allow easy export to gephi , which is great GUI tool for graph works. coder with more than 10 years of experience.
$66 USD en 10 días
5,0 (2 comentarios)
2,5
2,5
2 freelancers están ofertando un promedio de $68 USD por este trabajo
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Assuming I understood the problem correctly the goal is to identify complete unique graphs in the provided list of edges. Example output could probably look something like: [[2901_1, 3070_1], [10397_1, 3070_1], [10543_1, 3070_1], [3070_1, 2356_1], [2356_1, 106_1], ... ], [...], [...] Basically a collection of graphs, where each graphs is a collection of edges, where each edge connects two vertices. Could be in XML or JSON notation as well. There're many options. I've taken real IDs from sample data, although even this first graph isn't complete - I stopped looking for more nodes when I realized it could ponentially become quite huge. Anyway, it looks like an interesting problem from graphs theory and something I'd be happy to think about more. It could certainly be solved in almost any language, but I would probably have a go with Java or C# as these are nicely objective languages and I've used them both for several years full time. Also, I've noticed some nodes that seem to be connected only to themselves (e.g. 10002_1) - are they 'degenerated', one-node networks, or should simply be ignored? Let me know in case of any additional questions. Regards, Luke
$70 USD en 10 días
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Bandera de UNITED STATES
Watertown, United States
5,0
64
Miembro desde mar 23, 2010

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