“Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter

Nabeel Albishry*, Tom Crick, Theo Tryfonas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)


Emerging tools and methodologies are providing insight into the factors that promote the propagation of information in online social networks following significant activities, such as high-profile international social or societal events. This paper presents an extensible approach for analysing how different language communities engage and interact on the social networking platform Twitter via an analysis of the Eurovision Song Contest held in Stockholm, Sweden, in May 2016. By utilising language information from user profiles (N = 1,226,959) and status updates (N = 7,926,746) to identify and categorise communities, our approach is able to categorise these interactions, as well as construct network graphs to provide further insight on these multilingual communities. The results show that multilingualism is positively correlated with activity whilst negatively correlated with posting in the user’s own language.

Original languageEnglish
Title of host publicationComputational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings
PublisherSpringer-Verlag Berlin
Number of pages10
Volume10449 LNAI
ISBN (Print)9783319670768
Publication statusPublished - 2017
Event9th International Conference on Computational Collective Intelligence, ICCCI 2017 - Nicosia, Cyprus
Duration: 27 Sep 201729 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10449 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Computational Collective Intelligence, ICCCI 2017


  • Community discovery
  • Language networks
  • Multilingual communities
  • Network graphs
  • Social networks

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