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

  • Nabeel AlbishryEmail author
  • Tom Crick
  • Theo Tryfonas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10449)


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.


Language networks Multilingual communities Community discovery Network graphs Social networks 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of EngineeringUniversity of BristolBristolUK
  2. 2.Department of ComputingCardiff Metropolitan UniversityCardiffUK

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