Ultrametric distribution of culture vectors in an extended Axelrod model of cultural dissemination

Software

Source code: axelrod_model_code.tar.gz

You can also get the source code from my old site http://munk.cis.unimelb.edu.au/~stivalaa/ultrametric_axelrod/ (which, however, I can no longer update), or from GitHub.

This software is free under the terms of the GNU General Public License. It is a modified version of the code originally written by Jens Pfau, extended to include bounded confidence, support for external initial conditions data and other methods of generating initial conditions, and parallelization using MPI (with mpi4py). It also requires the Python libraries NumPy (part of the SciPy package) and igraph, and uses code written in R to compute cophenetic correlation coefficients.

The Python code was run with NumPy version 1.7.1, SciPy version 0.12.0, igraph version 0.6 and mpi4py version 1.3.1 under Python version 2.7.5 on a cluster running CentOS 5 (Linux 2.6.32-358.18.1.el6.x86_64) with Open MPI version 1.6.5. The C++ code was compiled with gcc version 4.4.7. R version 2.15.3 was used for running R scripts.

Reference

If you use our software, data, or results in your research, please cite:

• Stivala, A., Robins, G., Kashima, Y., and Kirley, M. (2014). Ultrametric distribution of culture vectors in an extended Axelrod model of cultural dissemination. Scientific Reports4:4870. doi:10.1038/srep04870

• Pfau, J., Kirley, M., and Kashima, Y. (2013). The co-evolution of cultures, social network communities, and agent locations in an extension of Axelrod's model of cultural dissemination. Physica A: Statistical Mechanics and its Applications. 392(2):381-391. doi:10.1016/j.physa.2012.09.004

Contact

Alex Stivala