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NOESIS (framework)

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Network-Oriented Exploration, Simulation, and Induction System
Developer(s)Fernando Berzal, Víctor Martínez
Initial release1 January 2013; 11 years ago (2013-01-01)[1]
Stable release
r2019 / 25 June 2019; 4 years ago (2019-06-25)
Written inJava, Python
Engine
    Operating systemLinux, Windows, macOS
    Size1.36 MB
    Available inEnglish
    TypeData mining, social network analysis, data analysis, data visualization
    LicenseBSD
    Websitenoesis.ikor.org

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    NOESIS (Network-Oriented Exploration, Simulation, and Induction System) is an open-source data mining framework designed for the design and implementation of network analysis algorithms. The framework is written in the Java programming language and a Python API is also provided.

    NOESIS implements many network analysis techniques, including a wide range of network structural properties (e.g. all mainstream centrality measures), many community detection methods, and an assorted collection of link scoring and prediction techniques, as well as some network visualization algorithms (a.k.a. graph drawing).

    NOESIS is distributed under a permissive BSD open-source software license.

    See also[edit]

    Related software

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    References[edit]

    1. NOESIS project funded by the Spanish Ministry of Economy and the European Regional Development Fund, ERDF, through research grants TIN2012-36951 and BES2013-064699


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