triversity (version 1.0)

triversity: Compute diversity measures on tripartite graphs.

Description

triversity is an R package for the computation of diversity measures on tripartite graphs. First, it implements a parametrized family of such diversity measures which apply on probability distributions. Sometimes called "True Diversity", this family contains famous measures such as the richness, the Shannon entropy, the Herfindahl-Hirschman index, and the Berger-Parker index. Second, the package allows to apply these measures on probability distributions resulting from random walks between the levels of tripartite graphs. By defining an initial distribution at a given level of the graph and a path to follow between the three levels, the probability of the walker's position within the final level is then computed, thus providing a particular instance of diversity to measure.

This package has been developed by researchers of the Complex Networks team, located within the Computer Science Laboratory of Paris 6 (LIP6), for the AlgoDiv project founded by the French National Agency of Research (ANR) under grant ANR-15-CE38-0001.

Links:

Contact:

List of main collaborators:

  • Robin Lamarche-Perrin (CNRS, ISC-PIF, LIP6)

  • Lionel Tabourier (UPMC, LIP6)

  • Fabien Tarissan (CNRS, ISP, LIP6)

  • Rapha<U+00EB>l Fournier S'niehotta (CNAM, C<U+00C9>DRIC)

  • R<U+00E9>my Cazabet (UdL, LIRIS)

Copyright 2017 <U+00A9> Robin Lamarche-Perrin

triversity is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. It is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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