Predicting language diversity with complex networks.
We analyze the model of social interactions with coevolution of the topology and states of the nodes. This model can be interpreted as a model of language change. We propose different rewiring mechanisms and perform numerical simulations for each. Obtained results are compared with the empirical dat...
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doaj-9b6ca19762fa4de0ac8dabdcaf7e07bc2020-11-25T01:45:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01134e019659310.1371/journal.pone.0196593Predicting language diversity with complex networks.Tomasz RaduchaTomasz GubiecWe analyze the model of social interactions with coevolution of the topology and states of the nodes. This model can be interpreted as a model of language change. We propose different rewiring mechanisms and perform numerical simulations for each. Obtained results are compared with the empirical data gathered from two online databases and anthropological study of Solomon Islands. We study the behavior of the number of languages for different system sizes and we find that only local rewiring, i.e. triadic closure, is capable of reproducing results for the empirical data in a qualitative manner. Furthermore, we cancel the contradiction between previous models and the Solomon Islands case. Our results demonstrate the importance of the topology of the network, and the rewiring mechanism in the process of language change.http://europepmc.org/articles/PMC5922521?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tomasz Raducha Tomasz Gubiec |
spellingShingle |
Tomasz Raducha Tomasz Gubiec Predicting language diversity with complex networks. PLoS ONE |
author_facet |
Tomasz Raducha Tomasz Gubiec |
author_sort |
Tomasz Raducha |
title |
Predicting language diversity with complex networks. |
title_short |
Predicting language diversity with complex networks. |
title_full |
Predicting language diversity with complex networks. |
title_fullStr |
Predicting language diversity with complex networks. |
title_full_unstemmed |
Predicting language diversity with complex networks. |
title_sort |
predicting language diversity with complex networks. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
We analyze the model of social interactions with coevolution of the topology and states of the nodes. This model can be interpreted as a model of language change. We propose different rewiring mechanisms and perform numerical simulations for each. Obtained results are compared with the empirical data gathered from two online databases and anthropological study of Solomon Islands. We study the behavior of the number of languages for different system sizes and we find that only local rewiring, i.e. triadic closure, is capable of reproducing results for the empirical data in a qualitative manner. Furthermore, we cancel the contradiction between previous models and the Solomon Islands case. Our results demonstrate the importance of the topology of the network, and the rewiring mechanism in the process of language change. |
url |
http://europepmc.org/articles/PMC5922521?pdf=render |
work_keys_str_mv |
AT tomaszraducha predictinglanguagediversitywithcomplexnetworks AT tomaszgubiec predictinglanguagediversitywithcomplexnetworks |
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1725021996085936128 |