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Subject: MUSKETEER 1.0 - Tool for Multiscale Network Generation
From: Ilya Safro <[log in to unmask]>
Reply-To:[log in to unmask]
Date:Thu, 19 Jul 2012 23:31:42 -0500

text/plain (44 lines)

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Dear all,

We release a new network generation tool MUSKETEER (Multiscale Entropic 
Network Generator). MUSKETEER generates highly realistic synthetic 
network data for multiple domains. The tool has been validated in 
domains such as epidemiological networks, social networks, 
finite-element meshes, power grids as well as small-world and scale-free 
networks. MUSKETEER takes empirical network data, which it coarsens and 
then refines through the multiscale framework (V-cycle). During the 
refinement phase, it introduces user-controlled perturbations which lead 
to high-entropy changes of the original data. The problem of network 
generation can be formulated at all levels of the multiscale hierarchy 
(depending on the user's preferences to change the entire structure of 
the network or only several particular scales). The proposed multiscale 
framework can easily incorporate new features such as invariants that 
have to be preserved in the generated network. MUSKETEER supports node 
and edge labels and attributes, multiple network formats.

* Open source based on Python's NetworkX API

Link to preprint

We would appreciate your feedback on the multiscale strategy for network 
generation and the software.

Alexander Gutfraind & Lauren A. Meyers, University of Texas at Austin
Ilya Safro, Argonne National Laboratory

Ilya Safro
Mathematics and Computer Science Division
Argonne National Laboratory
Phone: 1-630-252-5878

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