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題名 Visual Exploration Framework of Intersecting Users and Activities between Issues in Social Media
作者 紀明德;胡臻騏;廖春閔
Chi, Ming-Te;Hu, Chen-Chi;Liao, Chun-Min
貢獻者 資訊系
關鍵詞 Visual analytics; Set visualization; Glyph visualization; Social media data; Hierarchical data
日期 2024-03
上傳時間 12-Dec-2024 09:27:52 (UTC+8)
摘要 Analyzing the intersecting elements of hierarchical datasets is a critical task. We enhance the visual expression of hierarchical data and the visual exploration of the set/element attribute referring to the related visualizations. Therefore, we propose the visualization to analyze users' activities from the social media dataset and further explore the key users and their behaviors. We present the intersecting elements to achieve reliable scalability through a hierarchical visualization according to the attributes in the dataset. Moreover, we adopt the multi-view visualization to explore the posts and user profiles between issues to achieve an intuitive visual layout and integrate user interaction into hierarchical data. Furthermore, we compare user activities between issues, integrate the interacted attributes through the intersecting activities, and highlight the critical information of posts and user profiles. In our approach, we analyze the intersecting elements in issues of the multiple hierarchical sets from the social media and identify the impact events from the activities of user interactions.
關聯 Journal of Information Science and Engineering, Vol.40, No.2, pp.265-282
資料類型 article
DOI https://doi.org/10.6688/JISE.202403_40(2).0005
dc.contributor 資訊系
dc.creator (作者) 紀明德;胡臻騏;廖春閔
dc.creator (作者) Chi, Ming-Te;Hu, Chen-Chi;Liao, Chun-Min
dc.date (日期) 2024-03
dc.date.accessioned 12-Dec-2024 09:27:52 (UTC+8)-
dc.date.available 12-Dec-2024 09:27:52 (UTC+8)-
dc.date.issued (上傳時間) 12-Dec-2024 09:27:52 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/154751-
dc.description.abstract (摘要) Analyzing the intersecting elements of hierarchical datasets is a critical task. We enhance the visual expression of hierarchical data and the visual exploration of the set/element attribute referring to the related visualizations. Therefore, we propose the visualization to analyze users' activities from the social media dataset and further explore the key users and their behaviors. We present the intersecting elements to achieve reliable scalability through a hierarchical visualization according to the attributes in the dataset. Moreover, we adopt the multi-view visualization to explore the posts and user profiles between issues to achieve an intuitive visual layout and integrate user interaction into hierarchical data. Furthermore, we compare user activities between issues, integrate the interacted attributes through the intersecting activities, and highlight the critical information of posts and user profiles. In our approach, we analyze the intersecting elements in issues of the multiple hierarchical sets from the social media and identify the impact events from the activities of user interactions.
dc.format.extent 136 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Information Science and Engineering, Vol.40, No.2, pp.265-282
dc.subject (關鍵詞) Visual analytics; Set visualization; Glyph visualization; Social media data; Hierarchical data
dc.title (題名) Visual Exploration Framework of Intersecting Users and Activities between Issues in Social Media
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6688/JISE.202403_40(2).0005
dc.doi.uri (DOI) https://doi.org/10.6688/JISE.202403_40(2).0005