Self-similarity in the taxonomic classification of human languages
| dc.creator | Zanette, Damian H. | |
| dc.date | 2001-03-08 | |
| dc.date | 2001-09-19 | |
| dc.date.accessioned | 2026-07-07T05:33:21Z | |
| dc.date.available | 2026-07-07T05:33:21Z | |
| dc.description | Statistical properties of the taxonomic classification of human languages are studied. It is shown that, at the highest levels of the taxonomic hierarchy, the frequency of taxon members as a function of the number of languages belonging to each member decays as a power law. This feature reveals that a self-similar structure underlies the taxonomy of languages, exactly as observed in the taxonomic classification of biological species. Such an analogy is a clue to the evolutionary foundation of language classification based on long-range comparison. | |
| dc.description | final version, to appear in Adv. Complex Systems | |
| dc.identifier | https://arxiv.org/abs/nlin/0103005 | |
| dc.identifier | http://arxiv.org/abs/nlin/0103005 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/79965 | |
| dc.subject | Adaptation and Self-Organizing Systems | |
| dc.subject | Condensed Matter | |
| dc.title | Self-similarity in the taxonomic classification of human languages | |
| dc.type | text |