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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Main Authors: Tomasz Raducha, Tomasz Gubiec
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5922521?pdf=render
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spelling 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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