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.
|Author||Robin Lamarche-Perrin [aut, cre]|
|Maintainer||Robin Lamarche-Perrin <[email protected]>|
|License||GPL-3 | file LICENSE|
|Package repository||View on GitHub|
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