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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/154751


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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: 2024-12-12 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 連結: https://doi.org/10.6688/JISE.202403_40(2).0005
    DOI: 10.6688/JISE.202403_40(2).0005
    顯示於類別:[資訊科學系] 期刊論文

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