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KONECT-Analysis =============== This is the network analysis component of the KONECT project (Koblenz Network Collection) by Jérôme Kunegis at the University of Namur. http://konect.cc/ This is used to run analyses of KONECT networks in parallel, based on using the Stu tool (see 'INSTALL' for installation instructions). The code here is executed constantly by the KONECT project on our own computation servers. If you want to run it yourself, see the file 'INSTALL'. The analysis code uses a mix of Matlab, Octave, Julia, C99, Perl 5, and the shell: * Matlab (*.m): Most code is written in Matlab. Matlab has excellent plotting functionality. The drawback is that it's proprietary software, and as a result it is quite unportable and unpredictable. In general, new versions of Matlab break compatibility with something. Some parts of Matlab just show its age, like the '...' line continuations. Matlab has a very large corpus of third party libraries. The builtin functions such as matrix decompositions are also very heavily optimized. It's slow when code does not make use of vectorization. We don't use Matlab for new code; instead GNU Octave is used as a direct replacement, or other programming languages. * GNU Octave (*.m): A clone of Matlab. It is source code compatible to Matlab in theory, but in practice the devil is in the details: It is slower, it does not support very large matrices (only 32 bit indexes), and plotting is not as beautiful as in Matlab. * Julia (*.jl): This is the new and shiny new programming language that could in theory replace Matlab and Octave. We have only used it for a few analyses. The main drawbacks that we stumbled upon are: (1) Plotting is based on Python, so slow and only documented for Python. (2) Some functions are weird, like max()/maximum(). Otherwise it has many improvements, in particular when compared to all the weird quirks of Matlab. * Perl 5 (executable files): This is the perfect language when processing text. No questions asked. * C99 (*.c): The most memory efficient of all. It is also the fastest when implementing simple algorithms. The code tends to be very long, so we only use it for a few high-importance but algorithmically simple analyses: triangle count, diameter, etc. We have a complex system of compile-time type choosing, which may get transferred to C++ eventually. See the file INSTALL for installation and usage instructions. For questions, bug reports and other comments, write to Jérôme Kunegis <firstname.lastname@example.org>. If you like and want to support the KONECT project, please consider making a donation at the following address: https://www.paypal.com/donate/?hosted_button_id=Q9JY2FB3AFHR6 == Requirements == Disclaimer: KONECT-Analysis is academic, experimental, and mostly executed by its authors. As a result, it is _not_ optimized for easy installation or compatibility -- while we do take care to be compatible with various systems, we don't test KONECT-Analysis on other systems that those we use ourselves (which run Ubuntu). Also, we like to experiment with new programming languages from time to time, and as a result this project is quite a mix of languages. We warned you this is a geek project. The good news is: You don't need _all_ dependencies for all use cases. Stu is needed everywhere, but beyond that it depends what you are doing. You go ahead and run things, and you'll notice if something is missing. * Stu: install from https://github.com/kunegis/stu * A C99 compiler (for triangle counts, diameters, and a few more simple statistics and measures) * sed -E (this is not [yet] POSIX, but GNU Sed and BSD Sed have it) * python-rdflib / python-rdflib-tools (for RDF generation only, deprecated) * Matlab: This is proprietary, so may be hard to get (we're very slowly deprecating it) * GNU Octave (we use it occasionally, but not for new code -- it does not support large networks) * Perl 5 * Julia (experimental, see lib/JULIA) * Matlab-BGL (Boost Graph Library for Matlab) -- see file lib/README * matplotlib (used from within Julia) == License == Written by Jérôme Kunegis, Daniel Dünker and Jesús Cabello González. KONECT Analysis is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. KONECT Analysis is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. The full text of the GPLv3 is found in the file COPYING. == Third-party software == This software contains third-party software included in the directory lib/. See there for the respective licenses and copyright information.
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