Dynamic benchmark resources

This code and documentation supports the paper "Benchmark model to assess community structure in evolving networks"¹.

For full information on the code, please see MANUAL.tex. A PDF version is available under releases.

Dependencies:

• networkx: standard package for network analysis. Found in most Linux distribution repositories. Installation is standard with setup.py or pip.
• pcd: My own add-on package for network and community analysis. Not in any distribution, but can simply be placed in PYTHONPATH.

For convenience, I have a .tar.bz2 that has the benchmark code, plus local copies of networkx and pcd included. This is the dynbench-fulldist-* from the corresponding github releases page.

Version history

• The original version corresponding to our first paper² is at tag v0.2.0. Downloads are at https://github.com/rkdarst/dynbench/releases/v0.2.0. At this time, future versions maintain compatibility and default options, so the latest version can be used instead.

References

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1. Clara Granell, Richard K. Darst, Alex Arenas, Santo Fortunato, and Sergio Gómez. Benchmark model to assess community structure in evolving networks Phys. Rev. E 92, 012805. Published 10 July 2015

   Links: PRE, arxiv↩

2. Clara Granell, Richard K. Darst, Alex Arenas, Santo Fortunato, and Sergio Gómez. Benchmark model to assess community structure in evolving networks Phys. Rev. E 92, 012805. Published 10 July 2015

   Links: PRE, arxiv↩