Exploring Temporal Communities in Mass Media Archives
| Autor: | Haolin Ren, Shin'ichi Satoh, Guy Melançon, Benjamin Renoust, Marie-Luce Viaud |
|---|---|
| Přispěvatelé: | Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Visual analytics
Computer science business.industry [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] 020207 software engineering 02 engineering and technology Graph Visualization Social group World Wide Web Sankey diagram 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Mass media |
| Zdroj: | Proceedings of the 26th ACM international conference on Multimedia Proceedings of the 26th ACM international conference on Multimedia, Oct 2018, New York, United States. pp.1247-1249, ⟨10.1145/3240508.3241392⟩ ACM Multimedia |
| Popis: | One task key to the analysis of large multimedia archive over time is to dynamically monitor the activity of concepts and entities with their interactions. This is helpful to analyze threads of topics over news archives (how stories unfold), or to monitor evolutions and development of social groups. Dynamic graph modeling is a powerful tool to capture these interactions over time, while visualization and finding communities still remain difficult, especially with a high density of links. We propose to extract the backbone of dynamic graphs in order to ease community detection and guide the exploration of trends evolution. Through the graph structure, we interactively coordinate node-link diagrams, Sankey diagrams, time series, and animations in order to extract patterns and follow community behavior. We illustrate our system with the exploration of the role of soccer in 6 years of TV/radio magazines in France, and the role of North Korea in about 10 years of Japanese news. |
| Databáze: | OpenAIRE |
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