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Popularity and Geospatial Spread of Trends on Twitter: A Middle Eastern Case Study / Nabeel Albishry; Tom Crick; Tesleem Fagade; Theo Tryfonas

Computational Collective Intelligence, Volume: 11055

Swansea University Author: Crick, Tom

  • Accepted Manuscript under embargo until: 8th August 2019

Abstract

Thousands of topics trend on Twitter across the world every day, making it increasingly challenging to provide real-time analysis of current issues, topics and themes being discussed across various locations and jurisdictions. There is thus a demand for simple and extensible approaches to provide de...

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Published in: Computational Collective Intelligence
ISBN: 978-3-319-98442-1 978-3-319-98443-8
ISSN: 0302-9743 1611-3349
Published: Bristol, UK Springer 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa43571
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Abstract: Thousands of topics trend on Twitter across the world every day, making it increasingly challenging to provide real-time analysis of current issues, topics and themes being discussed across various locations and jurisdictions. There is thus a demand for simple and extensible approaches to provide deeper insight into these trends and how they propagate across locales. This paper represents one of the first studies to look at geospatial spread of trends on Twitter, presenting various techniques to provide increased understanding of how trends on social networks can spread across various regions and nations. It is based on a year-long data collection (N=2,307,163) and analysis between 2016–2017 of seven Middle Eastern countries (Bahrain, Egypt, Kuwait, Lebanon, Qatar, Saudi Arabia, and the United Arab Emirates). Using this year-long dataset, the project investigates the popularity and geospatial spread of trends, focusing on trend information but not processing individual topics, with the findings showing that likelihood of trends spreading to other locales is to a large extent influenced by the place in which it first appeared.
Item Description: Proceedings of 10th International Conference on Computational Collective Intelligence (ICCCI 2018)
Keywords: Trends, topic spread, popularity, network graphs, Twitter
College: College of Science
End Page: 177