  Network data mining has become an important area of study due to the large
number of problems it can be applied to. This paper presents NOESIS, an open
source framework for network data mining that provides a large collection of
network analysis techniques, including the analysis of network structural
properties, community detection methods, link scoring, and link prediction, as
well as network visualization algorithms. It also features a complete
stand-alone graphical user interface that facilitates the use of all these
techniques. The NOESIS framework has been designed using solid object-oriented
design principles and structured parallel programming. As a lightweight library
with minimal external dependencies and a permissive software license, NOESIS
can be incorporated into other software projects. Released under a BSD license,
it is available from http://noesis.ikor.org.
