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.
| Identifer | oai:union.ndltd.org:CHENGCHI/G0102753025 |
| Creators | 魏浩翔, Wei, Hao Xiang |
| Publisher | 國立政治大學 |
| Source Sets | National Chengchi University Libraries |
| Language | 中文 |
| Detected Language | English |
| Type | text |
| Rights | Copyright © nccu library on behalf of the copyright holders |
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