In this study, we conducted a comprehensive data collection on the 2022 Qatar FIFA World Cup event and used a multilayer network approach to visualize the main topics, while considering their context and meaning relationships. We struc- tured the data into layers that corresponded with the stages of the tournament and utilized Gephi software to generate the multilayer networks. Our visualiza- tions displayed both the relationships between topics and words, showing the word-context relationship, as well as the dynamics and changes over time by layer of the most frequently discussed topics.
Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup
Andrea Russo
Primo
;Vincenzo Miracula;Antonio Picone
2023-01-01
Abstract
In this study, we conducted a comprehensive data collection on the 2022 Qatar FIFA World Cup event and used a multilayer network approach to visualize the main topics, while considering their context and meaning relationships. We struc- tured the data into layers that corresponded with the stages of the tournament and utilized Gephi software to generate the multilayer networks. Our visualiza- tions displayed both the relationships between topics and words, showing the word-context relationship, as well as the dynamics and changes over time by layer of the most frequently discussed topics.File in questo prodotto:
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