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Davide Miceli edited this page Nov 17, 2018
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WatchComplexity is a Machine Learning framework to understand and analyze complex networks and more in general complex data. It is a collection of clustering techniques inspired by social science and communication theories.
Is is written in pure javascript, but one of the next steps of development could be to organize it as microservices to be used via REST APIs by other languages.
Our main goal is to do experimental research with practical applications.
WatchComplexity is available under the MIT license.