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  • 會議論文
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資料視覺化在社群媒體下議題追蹤的應用

摘要


隨著社群媒體逐漸興起,使用者願意在社群平台之中表達立場、評論觀點及分享貼文。本研究透過D3函式庫設計了三種視覺化工具,分別為:貼文熱度散點圖、粉絲專頁貼文熱度圖及粉絲專頁關聯圖,透過這三種視覺化工具,可以分別對議題事件做追蹤及處理。貼文熱度散點圖可以針對議題事件來追蹤在時間維度下,各粉絲專頁的貼文影響力等資訊;粉絲專頁貼文熱度圖則是可以了解議題下粉絲專頁的影響力排行及其貼文影響力排行;粉絲專頁關聯圖可以了解議題下粉絲專頁之間的關聯性。

並列摘要


As social media is arising, users are willing to convey their opinions, make comments, and share posts. This research used D3 to design three visualization tools: the post of heat graph, the fan page of heat graph, and the association of fan page graph respectively. Using these three visualization tools, we can track issues in different ways: With the post of heat graph, we can find the influence of the fan page's post on specific issue and time; the fan page of heat graph, we can realize the rank of the fan page's influence and the posts' influence; and the association of fan page graph, we can realize the relationship between fan pages and the issue.

並列關鍵字

Visualization tool Facebook D3 Post analysis Issue tracking

被引用紀錄


吳登翔(2014)。使用者模型為基礎的概念飄移預測〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201511590773
蘇鼎文(2015)。探討多重記憶系統應用於遺忘因子的使用者興趣模型〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512073572

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