Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering

Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering

Abstract The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over the course of the pandemic. In this study, we propose...

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Bibliographic Details
Main Authors: Iain J. Cruickshank, Kathleen M. Carley
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Applied Network Science
Subjects:
Social media
Clustering
Multi-view data
COVID-19
Online Access:http://link.springer.com/article/10.1007/s41109-020-00317-8

Internet

http://link.springer.com/article/10.1007/s41109-020-00317-8

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