NOESIS: A Framework for Complex Network Data Analysis Martínez, Víctor Berzal Galiano, Fernando Cubero Talavera, Juan Carlos Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data. In this paper, we present NOESIS, an open-source framework for network-based data mining. NOESIS features a large number of techniques and methods for the analysis of structural network properties, network visualization, community detection, link scoring, and link prediction. ­e proposed framework has been designed following solid design principles and exploits parallel computing using structured parallel programming. NOESIS also provides a stand-alone graphical user interface allowing the use of advanced software analysis techniques to users without prior programming experience. ­is framework is available under a BSD open-source software license. 2019-12-12T12:54:29Z 2019-12-12T12:54:29Z 2019-10-31 journal article Martínez, V., Berzal, F., & Cubero, J. C. (2019). NOESIS: A Framework for Complex Network Data Analysis. Complexity, 2019. http://hdl.handle.net/10481/58275 10.1155/2019/1439415 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Wiley