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  4. Towards a large-scale twitter observatory for political events
 
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Towards a large-scale twitter observatory for political events
File(s)
clean.pdf (13.63 MB)
Accepted version
Author(s)
Fernando, Senaka
Amador Díaz López, Julio
Şerban, Ovidiu
Gómez-Romero, Juan
Molina-Solana, Miguel
more
Type
Journal Article
Abstract
Explosion in usage of social media has made its analysis a relevant topic of interest, and particularly so in the political science area. Within Data Science, no other techniques are more widely accepted and appealing than visualisation. However, with datasets growing in size, visualisation tools also require a paradigm shift to remain useful in big data contexts. This work presents our proposal for a Large-Scale Twitter Observatory that enables researchers to efficiently retrieve, analyse and visualise data from this social network to gain actionable insights and knowledge related with political events. In addition to describing the supporting technologies, we put forward a working pipeline and validate the setup with different examples.
Date Issued
2020-09-01
Date Acceptance
2019-10-27
Citation
Future Generation Computer Systems, 2020, 110, pp.976-983
URI
http://hdl.handle.net/10044/1/74658
URL
https://www.sciencedirect.com/science/article/pii/S0167739X19309720?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.future.2019.10.013
ISSN
0167-739X
Publisher
Elsevier BV
Start Page
976
End Page
983
Journal / Book Title
Future Generation Computer Systems
Volume
110
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
European Commission
Identifier
https://www.sciencedirect.com/science/article/pii/S0167739X19309720?via%3Dihub
Grant Number
GA 743623
Subjects
Distributed Computing
0803 Computer Software
0805 Distributed Computing
0806 Information Systems
Publication Status
Published
Date Publish Online
2019-10-31
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