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6.2 未來發展與改進
本研究中所提出的視覺化探索系統，將資料集的資訊特徵視覺化呈現，找出 重要連結者並深入了解他們，幫助使用者探索事件中的意見領袖，同時也在 了解他們的過程中，進而了解整體事件的進展。系統雖已被證實其有效性，
但仍有許多未竟之處。在此提出以下幾點，期望未來能加以改善突破。
1. 在重要連結者候選人中，針對新聞機構與機器人的特徵做出判斷分類，
以更探索整體事件的發展樣貌。
2. 以不同關聯指標（共同追蹤者、共同轉推、互相提及、引用連結的所屬 網域等）對事件使用者建立一套社群網路，進而以社群網路分析（Social Network Analysis）篩選出重要連結者。
3. 分析候選人所發的推文，和其使用的主題標籤並視覺化，幫助研究者以 其更發文內容，更準確地判斷他們與事件的關聯狀態。
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