RT Journal Article
T1 Social media enhances languages differentiation: a mathematical description
A1 Vidal-Franco, Ignacio
A1 Guiu Souto, Jacobo
A1 Pérez Muñuzuri, Alberto
K1 Language competition
K1 Networks
K1 Differentiation induced by globalization
K1 Non-localized Turing structures
AB 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
PB The Royal Society Publishing
YR 2017
FD 2017
LK http://hdl.handle.net/10347/17601
UL http://hdl.handle.net/10347/17601
LA eng
NO 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
NO 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)
DS Minerva
RD 23 abr 2026