No Cover Image

Book chapter 824 views 228 downloads

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

Nabeel Albishry, Tom Crick Orcid Logo, Theo Tryfonas Orcid Logo

Computational Collective Intelligence, Volume: 10449, Pages: 469 - 478

Swansea University Author: Tom Crick Orcid Logo

DOI (Published version): 10.1007/978-3-319-67077-5_45

Abstract

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 d...

Full description

Published in: Computational Collective Intelligence
ISBN: 978-3-319-67076-8 978-3-319-67077-5
Published: Cyprus Springer 2017
Online Access: https://link.springer.com/chapter/10.1007%2F978-3-319-67077-5_45
URI: https://cronfa.swan.ac.uk/Record/cronfa43377
Abstract: 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.
Item Description: Proceedings of 9th International Conference on Computational Collective Intelligence (ICCCI 2017)
Keywords: Language networks, Multilingual communities, Community discovery, Network graphs, Social networks
College: Faculty of Humanities and Social Sciences
Start Page: 469
End Page: 478

Similar Items