Social media enhances languages differentiation: a mathematical description | Zendy

Ignacio Vidal-Franco | Zendy; Jacobo GuiuSouto | Zendy; Alberto P. Muñuzuri | Zendy

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Social media enhances languages differentiation: a mathematical description

Author(s) -

Ignacio Vidal-Franco,

Jacobo GuiuSouto,

Alberto P. Muñuzuri

Publication year - 2017

Publication title -

royal society open science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.84

H-Index - 51

ISSN - 2054-5703

DOI - 10.1098/rsos.170094

Subject(s) - computer science , competition (biology) , artificial intelligence , theoretical computer science , data science , ecology , biology

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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