We have hosted the application community detection modularity suite in order to run this application in our online workstations with Wine or directly.
Quick description about community detection modularity suite:
- MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics.- OpenMP versions of algorithms in [1] are available to download.
- Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2].
Collaborator: Theologos Kotsos.
[1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004.
[2] M. Newman, Physical Review E, 74(3): 036104, 2006.
[3] B. Ball et al, An efficient and principled method for detecting communities in networks, 2011.
The suite is based upon the fast community algorithm implemented by Aaron Clauset <[email protected]>, Chris Moore, Mark Newman, and the R IGraph library Copyright (C) 2007 Gabor Csardi <[email protected]>. It also makes of the classes available from Numerical Recipies 3rd Edition W. Press, S. Teukolsky, W. Vetterling, B. Flanne.
Features:
- C++ and R implementations of Newman & Girvan Modularity based community detection algorithms
- R implementations of the edge Betweenness Random Walk algorithm
- Boot-strapping factilities to test cluster robustness
- Version 2 (v2r1) contains OpenMP implementation of Newman & Girvan Geodesic and Random Walk edge Betweenness algorithms
- Overlapping community detection model, including the partition density and fuzzy modularity metrics for community detection
Audience: Science/Research.
User interface: Console/Terminal.
Programming Language: C++, S/R.
Categories:
©2024. Winfy. All Rights Reserved.
By OD Group OU – Registry code: 1609791 -VAT number: EE102345621.