PACO download form

This is a short form to download PACO (PArtitioning Cost Optimization) as a C library and for Matlab/Octave or as a Python module.

Please indicate your name and institution to proceed downloading PACO Please indicate your name and institution to proceed downloading PACO First Last
Institution or company

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Please indicate your operating systems (multiple choices allowed)

Please indicate your operating systems (multiple choices allowed) Linux 64 bit (tested) Windows 7/8/10 (not tested) OSX (tested on Mavericks and later) Please indicate other operating system if not available
What is your research field?

What is your research field? Social network analysis Bioinformatics Neuroscience Other Other
Please specify which version of PACO you need

Please specify which version of PACO you need Matlab Octave Python Command line executable
Please specify why you are interested in PACO and how you will apply PACO.
Here you can tell us more about how you are going to use PACO.
PACO is available for non-commercial use, and should not be distributed.
Please, refer other users to this webpage to obtain a free licence from IIT.
Publications based on the use of FAGSO should cite:

"Modular structure of brain functional networks: breaking the resolution limit by Surprise"
C. Nicolini and A. Bifone, Scientific Reports doi:10.1038/srep19250

"Community detection in weighted brain connectivity networks beyond the resolution limit."
Nicolini C., Bordier C., Bifone A.
Neuroimage. 2017 Feb 1;146:28-39. doi: 10.1016/j.neuroimage.2016.11.026

PACO is available for non-commercial use, and should not be distributed.
Please, refer other users to this webpage to obtain a free licence from IIT.
Publications based on the use of FAGSO should cite:

"Modular structure of brain functional networks: breaking the resolution limit by Surprise"
C. Nicolini and A. Bifone, Scientific Reports doi:10.1038/srep19250

"Community detection in weighted brain connectivity networks beyond the resolution limit."
Nicolini C., Bordier C., Bifone A.
Neuroimage. 2017 Feb 1;146:28-39. doi: 10.1016/j.neuroimage.2016.11.026 I agree.