NOESIS (framework)
Developer(s) | Fernando Berzal, Víctor Martínez |
---|---|
Initial release | 1 January 2013[1] |
Stable release | r2019
/ 25 June 2019 |
Written in | Java, Python |
Engine | |
Operating system | Linux, Windows, macOS |
Size | 1.36 MB |
Available in | English |
Type | Data mining, social network analysis, data analysis, data visualization |
License | BSD |
Website | noesis |
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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]
- Social network analysis software
- Community structure
- Centrality measures
- Graph drawing techniques
- Related software
External links[edit]
References[edit]
- ↑ 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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