Computing diversity measures on multipartite graphs. This package first 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 parts of multipartite graphs. By defining an initial distribution on a given part of the graph and a path to follow between the different parts, the probability of the walker's position within the final part is then computed, thus providing a particular instance of diversity to measure.
Package details |
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Author | Robin Lamarche-Perrin [aut, cre] |
Maintainer | Robin Lamarche-Perrin <Robin.Lamarche-Perrin@lip6.fr> |
License | GPL-3 | file LICENSE |
Version | 2.0 |
Package repository | View on GitHub |
Installation |
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