Social media enhances languages differentiation: a mathematical description
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The Royal Society Publishing
Abstract
Understanding and predicting the evolution of competing languages is a topic of high interest in a world with more than 6000 languages competing in a highly connected environment. We consider a reasonable mathematical model describing a situation of competition between two languages and analyse the effect of the speakers' connectivity (i.e. social networks). Surprisingly, instead of homogenizing the system, a high degree of connectivity helps to introduce differentiation for the appropriate parameters
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Vidal-Franco, I., Guiu-Souto, J., & Muñuzuri, A. P. (2017). Social media enhances languages differentiation: a mathematical description. Royal Society Open Science, 4(5), 170094. http://doi.org/10.1098/rsos.170094
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http://dx.doi.org/10.1098/rsos.170094Sponsors
Xunta de Galicia under Research grant no. GPC2015/014, the Spanish Ministerio de Economía y Competitividad and European Regional Development Fund under contract MAT2015-71119-R (MINECO/FEDER). The authors belong to the CRETUS Strategic Partnership (AGRUP2015/02). All these programmes are co-funded by FEDER (UE)
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Copyright © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. Atribución 4.0 Internacional







