Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866910305795178496 |
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| author | Russo, Andrea Miracula, Vincenzo Picone, Antonio |
| author_facet | Russo, Andrea Miracula, Vincenzo Picone, Antonio |
| contents | 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 structured the data into layers that corresponded with the stages of the tournament and utilized Gephi software to generate the multilayer networks. Our visualizations 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_12228 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup Russo, Andrea Miracula, Vincenzo Picone, Antonio Social and Information Networks Computers and Society Information Retrieval 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 structured the data into layers that corresponded with the stages of the tournament and utilized Gephi software to generate the multilayer networks. Our visualizations 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. |
| title | Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup |
| topic | Social and Information Networks Computers and Society Information Retrieval |
| url | https://arxiv.org/abs/2401.12228 |