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 | |
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
Fingerprint
Dive into the research topics of '“Come Together!”: Interactions of Language Networks and Multilingual Communities on Twitter'. Together they form a unique fingerprint.Prizes
-
Best Student Paper Award - ICCCI 2017
Albishry, N. H. H. (Recipient), Tryfonas, T. (Recipient) & Crick, T. (Recipient), 29 Sept 2017
Prize: Prizes, Medals, Awards and Grants
Equipment
-
HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities
Alam, S. R. (Manager), Williams, D. A. G. (Manager), Eccleston, P. E. (Manager) & Greene, D. (Manager)
Facility/equipment: Facility