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

Nabeel Albishry; Tom Crick; Theo Tryfonas

doi:10.1007/978-3-319-67077-5_45

“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 proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings
Publisher	Springer-Verlag Berlin
Pages	469-478
Number of pages	10
Volume	10449 LNAI
ISBN (Print)	9783319670768
DOIs	https://doi.org/10.1007/978-3-319-67077-5_45
Publication status	Published - 2017
Event	9th International Conference on Computational Collective Intelligence, ICCCI 2017 - Nicosia, Cyprus Duration: 27 Sept 2017 → 29 Sept 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10449 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Computational Collective Intelligence, ICCCI 2017
Country/Territory	Cyprus
City	Nicosia
Period	27/09/17 → 29/09/17

Keywords

Community discovery
Language networks
Multilingual communities
Network graphs
Social networks

Access to Document

10.1007/978-3-319-67077-5_45

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Albishry, N., Crick, T., & Tryfonas, T. (2017). “Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter. In Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings (Vol. 10449 LNAI, pp. 469-478). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10449 LNAI). Springer-Verlag Berlin. https://doi.org/10.1007/978-3-319-67077-5_45

Albishry, Nabeel ; Crick, Tom ; Tryfonas, Theo. / “Come Together!” : Interactions of Language Networks and Multilingual Communities on Twitter. Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. Vol. 10449 LNAI Springer-Verlag Berlin, 2017. pp. 469-478 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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{\textquoteright}s own language.",

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Albishry, N, Crick, T & Tryfonas, T 2017, “Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter. in Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. vol. 10449 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10449 LNAI, Springer-Verlag Berlin, pp. 469-478, 9th International Conference on Computational Collective Intelligence, ICCCI 2017, Nicosia, Cyprus, 27/09/17. https://doi.org/10.1007/978-3-319-67077-5_45

“Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter. / Albishry, Nabeel; Crick, Tom; Tryfonas, Theo.
Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. Vol. 10449 LNAI Springer-Verlag Berlin, 2017. p. 469-478 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10449 LNAI).

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

TY - GEN

T1 - “Come Together!”

T2 - 9th International Conference on Computational Collective Intelligence, ICCCI 2017

AU - Albishry, Nabeel

AU - Crick, Tom

AU - Tryfonas, Theo

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Community discovery

KW - Language networks

KW - Multilingual communities

KW - Network graphs

KW - Social networks

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Albishry N, Crick T, Tryfonas T. “Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter. In Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings. Vol. 10449 LNAI. Springer-Verlag Berlin. 2017. p. 469-478. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-67077-5_45

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

Abstract

Publication series

Conference

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Best Student Paper Award - ICCCI 2017

HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Prizes

Best Student Paper Award - ICCCI 2017

Equipment

HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities

Cite this