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題名 分享脈絡：社群媒體訊息散播行為視覺化
ShareFlow: Information Diffusion Visualization with Social Media作者 魏浩翔
Wei, Hao Xiang貢獻者 紀明德
Chi, Ming Te
魏浩翔
Wei, Hao Xiang關鍵詞 資訊視覺化
資訊擴散
社群媒體
Data visualization
Information diffusion
Social media日期 2015 上傳時間 1-三月-2016 10:41:01 (UTC+8) 摘要 本篇論文針對社群使用者在社群網路文章上的互動行為進行研究，以視覺化工具Shareflow探索互動過程中造成資訊擴散的意見領袖以及傳播路徑。本研究主要分成兩個部分，第一部分為單一篇文章的分享路徑視覺化，基於階層化邊線綑綁(Hierarchical edge bundles)方法，根據控制點的引導將鄰近邊線進行綑綁，透過邊線捆綁舒緩資料量過大時造成之視覺混亂(visual clutter)問題。第二部分為粉絲專頁文章視覺化，分析多篇文章中具有多次分享、留言行為之使用者，呈現整體社群中積極活動的使用者以及其相關文章的視覺化。最後提供即時互動操作介面，以並列方式呈現出資料的廣度和深度，本研究的貢獻為提供一套視覺化工具，協助使用者探索臉書社群網路中的資訊散播過程以及發掘積極活動的臉書使用者。
In this thesis, we propose a visualization tool, “Shareflow”, for observing the user activities in social media posts, and to explore opinion leaders and the propagation path caused by the information diffusion. Our approach contains two parts. The first part is a visualization of propagation path for a post in Facebook fanpage. Based on hierarchical edge bundles, we optimize the layout to reduce visual clutter caused by excessive information. The second part is visualization for a summary of posts in Facebook fanpage. It provides a tool for analysis the active users through their sharing and comments activities; In addition, we provide a real-time interactive interface, which demonstrates the breadth and depth of information concurrently.參考文獻 [1] F. Viégas, M. Wattenberg, J. Hebert, G. Borggaard, A. Cichowlas, J. Feinberg, J. Orwant and C. Wren, `Google+Ripples: a native visualization of information flow`, Proceedings of the 22nd international conference on World Wide Web, pp. 1389-1398, 2013.[2] C. Ho, C. Li and S. Lin, `Modeling and Visualizing Information Propagation in a Micro-blogging Platform`, 2011 International Conference on Advances in Social Networks Analysis and Mining, 2011.[3] N. Cao, Y. Lin, X. Sun, D. Lazer, S. Liu and H. Qu, `Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time`, IEEE Trans. Visual. Comput. Graphics, vol. 18, no. 12, pp. 2649-2658, 2012. [4] D. Ren, X. Zhang, Z. Wang, J. Li and X. Yuan, `WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System`, 2014 IEEE Pacific Visualization Symposium, 2014.[5] N. Wong, S. Carpendale and S. Greenberg, `Edgelens: an interactive method for managing edge congestion in graphs`, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714), 2003.[6] N. Wong, S. Carpendale, `Interactive Poster: Using Edge Plucking for Interactive Graph Exploration`, Poster in the IEEE Symposium on Information Visualization, 2015.[7] T. Fruchterman and E. Reingold, `Graph drawing by force-directed placement`, Softw: Pract. Exper. , vol. 21, no. 11, pp. 1129-1164, 1991.[8] D. Phan, L. Xiao, R. Yeh, P. Hanrahan and T. Winograd, `Flow map layout`, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.[9] D. Holten, `Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data`, IEEE Trans. Visual. Comput. Graphics, vol. 12, no. 5, pp. 741-748, 2006.[10] W. Cui, H. Zhou, H. Qu, P. C. Wong and X. Li, `Geometry-Based Edge Clustering for Graph Visualization`, IEEE Trans. Visual. Comput. Graphics, vol. 14, no. 6, pp. 1277-1284, 2008.[11] D. Holten and J. van Wijk, `Force-Directed Edge Bundling for Graph Visualization`, Computer Graphics Forum, vol. 28, no. 3, pp. 983-990, 2009.[12] E. Gansner, Y. Hu, S. North and C. Scheidegger, `Multilevel agglomerative edge bundling for visualizing large graphs`, 2011 IEEE Pacific Visualization Symposium, 2011.[13] D. Selassie, B. Heller and J. Heer, `Divided Edge Bundling for Directional Network Data`, IEEE Trans. Visual. Comput. Graphics, vol. 17, no. 12, pp. 2354-2363, 2011.[14] E. Reingold and J. Tilford, `Tidier Drawings of Trees`, IEEE Transactions on Software Engineering, vol. SE-7, no. 2, pp. 223-228, 1981.[15] https://developers.facebook.com/docs/graph-api/advanced/rate-limiting 描述 碩士
國立政治大學
資訊科學學系
102753025資料來源 http://thesis.lib.nccu.edu.tw/record/#G0102753025 資料類型 thesis dc.contributor.advisor 紀明德 zh_TW dc.contributor.advisor Chi, Ming Te en_US dc.contributor.author (作者) 魏浩翔 zh_TW dc.contributor.author (作者) Wei, Hao Xiang en_US dc.creator (作者) 魏浩翔 zh_TW dc.creator (作者) Wei, Hao Xiang en_US dc.date (日期) 2015 en_US dc.date.accessioned 1-三月-2016 10:41:01 (UTC+8) - dc.date.available 1-三月-2016 10:41:01 (UTC+8) - dc.date.issued (上傳時間) 1-三月-2016 10:41:01 (UTC+8) - dc.identifier (其他 識別碼) G0102753025 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/81528 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊科學學系 zh_TW dc.description (描述) 102753025 zh_TW dc.description.abstract (摘要) 本篇論文針對社群使用者在社群網路文章上的互動行為進行研究，以視覺化工具Shareflow探索互動過程中造成資訊擴散的意見領袖以及傳播路徑。本研究主要分成兩個部分，第一部分為單一篇文章的分享路徑視覺化，基於階層化邊線綑綁(Hierarchical edge bundles)方法，根據控制點的引導將鄰近邊線進行綑綁，透過邊線捆綁舒緩資料量過大時造成之視覺混亂(visual clutter)問題。第二部分為粉絲專頁文章視覺化，分析多篇文章中具有多次分享、留言行為之使用者，呈現整體社群中積極活動的使用者以及其相關文章的視覺化。最後提供即時互動操作介面，以並列方式呈現出資料的廣度和深度，本研究的貢獻為提供一套視覺化工具，協助使用者探索臉書社群網路中的資訊散播過程以及發掘積極活動的臉書使用者。 zh_TW dc.description.abstract (摘要) In this thesis, we propose a visualization tool, “Shareflow”, for observing the user activities in social media posts, and to explore opinion leaders and the propagation path caused by the information diffusion. Our approach contains two parts. The first part is a visualization of propagation path for a post in Facebook fanpage. Based on hierarchical edge bundles, we optimize the layout to reduce visual clutter caused by excessive information. The second part is visualization for a summary of posts in Facebook fanpage. It provides a tool for analysis the active users through their sharing and comments activities; In addition, we provide a real-time interactive interface, which demonstrates the breadth and depth of information concurrently. en_US dc.description.tableofcontents 摘要 iAbstract ii目錄 iii圖目錄 v第一章 緒論 11.1 研究動機與目的 11.2 問題描述 21.3 論文貢獻 31.4 論文章節架構 3第二章 相關研究 42.1 社群網路視覺化 42.2 圖形簡化 82.3 邊線捆綁 10第三章 研究方法與步驟 133.1 系統架構 133.2 資料撈取、整合與分析 143.2.1 資料撈取 153.2.2 資料整合與分析 163.3 階層化邊線捆綁 183.4 單一篇文章分享路徑視覺化 203.5 粉絲專頁視覺化 253.6 互動機制 31第四章 實驗結果與討論 354.1 實作與實驗環境 354.2 個案研究 354.2.1 單一粉絲專頁觀察(以懶人時報為例) 364.2.2 單一事件觀察(以2015年11月巴黎襲擊事件為例) 384.3 使用者測試(初測) 444.4 使用者測試(線上問卷) 494.5 限制 55第五章 結論與未來工作 585.1 結論 585.2 未來工作 59參考文獻 60 zh_TW dc.format.extent 5970713 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0102753025 en_US dc.subject (關鍵詞) 資訊視覺化 zh_TW dc.subject (關鍵詞) 資訊擴散 zh_TW dc.subject (關鍵詞) 社群媒體 zh_TW dc.subject (關鍵詞) Data visualization en_US dc.subject (關鍵詞) Information diffusion en_US dc.subject (關鍵詞) Social media en_US dc.title (題名) 分享脈絡：社群媒體訊息散播行為視覺化 zh_TW dc.title (題名) ShareFlow: Information Diffusion Visualization with Social Media en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) [1] F. Viégas, M. Wattenberg, J. Hebert, G. Borggaard, A. Cichowlas, J. Feinberg, J. Orwant and C. Wren, `Google+Ripples: a native visualization of information flow`, Proceedings of the 22nd international conference on World Wide Web, pp. 1389-1398, 2013.[2] C. Ho, C. Li and S. Lin, `Modeling and Visualizing Information Propagation in a Micro-blogging Platform`, 2011 International Conference on Advances in Social Networks Analysis and Mining, 2011.[3] N. Cao, Y. Lin, X. Sun, D. Lazer, S. Liu and H. Qu, `Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time`, IEEE Trans. Visual. Comput. Graphics, vol. 18, no. 12, pp. 2649-2658, 2012. [4] D. Ren, X. Zhang, Z. Wang, J. Li and X. Yuan, `WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System`, 2014 IEEE Pacific Visualization Symposium, 2014.[5] N. Wong, S. Carpendale and S. Greenberg, `Edgelens: an interactive method for managing edge congestion in graphs`, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714), 2003.[6] N. Wong, S. Carpendale, `Interactive Poster: Using Edge Plucking for Interactive Graph Exploration`, Poster in the IEEE Symposium on Information Visualization, 2015.[7] T. Fruchterman and E. Reingold, `Graph drawing by force-directed placement`, Softw: Pract. Exper. , vol. 21, no. 11, pp. 1129-1164, 1991.[8] D. Phan, L. Xiao, R. Yeh, P. Hanrahan and T. Winograd, `Flow map layout`, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005.[9] D. Holten, `Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data`, IEEE Trans. Visual. Comput. Graphics, vol. 12, no. 5, pp. 741-748, 2006.[10] W. Cui, H. Zhou, H. Qu, P. C. Wong and X. Li, `Geometry-Based Edge Clustering for Graph Visualization`, IEEE Trans. Visual. Comput. Graphics, vol. 14, no. 6, pp. 1277-1284, 2008.[11] D. Holten and J. van Wijk, `Force-Directed Edge Bundling for Graph Visualization`, Computer Graphics Forum, vol. 28, no. 3, pp. 983-990, 2009.[12] E. Gansner, Y. Hu, S. North and C. Scheidegger, `Multilevel agglomerative edge bundling for visualizing large graphs`, 2011 IEEE Pacific Visualization Symposium, 2011.[13] D. Selassie, B. Heller and J. Heer, `Divided Edge Bundling for Directional Network Data`, IEEE Trans. Visual. Comput. Graphics, vol. 17, no. 12, pp. 2354-2363, 2011.[14] E. Reingold and J. Tilford, `Tidier Drawings of Trees`, IEEE Transactions on Software Engineering, vol. SE-7, no. 2, pp. 223-228, 1981.[15] https://developers.facebook.com/docs/graph-api/advanced/rate-limiting zh_TW
