Evidence map›Paper›PMID 28573016›Full record

ArticleRoyal Society open science2017

Social media enhances languages differentiation: a mathematical description.

Ignacio Vidal-Franco, Jacobo Guiu-Souto, Alberto P Muñuzuri

Abstract read
In one paragraph

Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ignacio Vidal-FrancoGroup of NonLinear Physics, Universidade Santiago de Compostela, 15706 Santiago de Compostela, Spain.
Jacobo Guiu-SoutoGroup of NonLinear Physics, Universidade Santiago de Compostela, 15706 Santiago de Compostela, Spain.
Alberto P MuñuzuriGroup of NonLinear Physics, Universidade Santiago de Compostela, 15706 Santiago de Compostela, Spain.ORCID 0000-0002-0579-9347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

differentiation induced by globalizationlanguage competitionnetworksnon-localized Turing structures

Identifiers

PMID28573016
PMCPMC5451817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.