Popularity and Geospatial Spread of Trends on Twitter: A Middle Eastern Case Study

Nabeel Albishry, Tom Crick, Tesleem Fagade, Theo Tryfonas

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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.
Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Computational Collective Intelligence (ICCCI 2018)
Subtitle of host publication5-7 September 2018 - Bristol, UK
PublisherSpringer
Pages167-177
Number of pages11
Volume11055
ISBN (Electronic)978-3-319-98443-8
ISBN (Print)978-3-319-98442-1
DOIs
Publication statusPublished - Sep 2018
Event10th International Conference on Computational Collective Intelligence - University of the West of England, Bristol, United Kingdom
Duration: 5 Sep 20187 Sep 2018

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743

Conference

Conference10th International Conference on Computational Collective Intelligence
Abbreviated titleICCCI 2018
CountryUnited Kingdom
CityBristol
Period5/09/187/09/18

Keywords

  • Trends
  • Topic spread
  • Popularity
  • Network graphs
  • Twitter

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    Albishry, N., Crick, T., Fagade, T., & Tryfonas, T. (2018). Popularity and Geospatial Spread of Trends on Twitter: A Middle Eastern Case Study. In Proceedings of the 10th International Conference on Computational Collective Intelligence (ICCCI 2018): 5-7 September 2018 - Bristol, UK (Vol. 11055, pp. 167-177). [63] (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-98443-8_16