F1000Research/Network-Randomizer: F1000Reserach/Network-Randomizer
Authors/Creators
- 1. Student at Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
Description
Network Randomizer is a Cytoscape app for generating random networks, as well as randomizing the existing ones, by using multiple random network models. Further, it can process the statistical information gained from the these networks in order to pinpoint their special, non-random characteristics.
It covers many popular random network models: Erdős–Rényi, Watts–Strogatz, Barabási–Albert, Community Affiliation Graph, edge shuffle, degree preserving edge shuffle, but it also features a new model which is based on the node multiplication.
The statistical module is based on the two-sample Kolmogorov-Smirnov test. It compares random and real networks finding the differences between them and thus providing insight into non-random processes upon which real networks are built.
The app was developed by Gabriele Tosadori and Ivan Bestvina, as a project for the National Resource for Network Biology.
Files
F1000Research/Network-Randomizer-v1.1.zip
Files
(306.4 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/F1000Research/Network-Randomizer/tree/v1.1 (URL)