`triversity`

:
Diversity Measures on Tripartite Graphs

`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.

### Clone

`git clone https://github.com/Lamarche-Perrin/triversity`

### Authors

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

List of main collaborators: - Robin
Lamarche-Perrin - Lionel Tabourier - Fabien Tarissan - Raphaël
Fournier S’niehotta - Rémy Cazabet

### License

Copyright © 2017 Robin Lamarche-Perrin
(Robin.Lamarche-Perrin@lip6.fr)

`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/.