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研究生:高孔明
研究生(外文):Kao, Kung-Ming
論文名稱:引文網路視覺化系統之設計與實作
論文名稱(外文):The Design and Implementation of Citation Networks Visualization System
指導教授:陳宗天陳宗天引用關係
指導教授(外文):Chen, Tsung-Teng
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:64
中文關鍵詞:資訊視覺化引文分析
外文關鍵詞:Information VisualizationCitation Analysis
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  資訊爆炸的時代中,由於大量的資訊隨處可得,為了了解這些龐大的資訊,因而產生了一門新的學科:資訊視覺化。透過資訊視覺化,我們可以藉由圖形化的方式,對於大量的資訊有更簡單、更直覺的體認。
  因應此潮流,包含學術界與實務界的許多研究團隊,均致力於視覺化的研究:如多維度資料、網路連結型資料、文字資料等的視覺化。相較於其他資料的視覺化,引文網路的視覺化較少被人討論。從引文網路的視覺化中,除了希望能一窺某知識領域的結構與演進外,也希望能找出該領域的核心文獻,作為日後入門該領域的一個參考。
  本研究嘗試開發一套視覺化系統:HelloCite,而該系統所瞄準的資料目標為引文網路。HelloCite除了提供圖形化與互動式的界面外,主要特色有三:(1) 可讀入網路分析軟體Pajek所定義的.net文字檔,進而繪出該檔的視覺化圖像。(2) 有別於以往以文章被參考的次數當作權重值,我們以鏈結分析中的PageRank來計算引文網路中各文章的權重值。(3) 利用各文章之權重值及指定文章引用之層級,作為圖形顯現的過濾條件,讓使用者可以聚焦於自己較有興趣的部份。
  透過本系統的使用,除了描繪出某一知識領域文獻間的引用關係外,在人機互動的操作介面下,讓使用者能更有彈性地探索引文網路。最終,我們希望能發展出一個能完整呈現引文網路資訊、並且讓使用者更易於使用的引文網路視覺化系統。
  In the age of information overloading, there are voluminous information readily available to us. Researchers develop the information visualization study to facilitate the effective comprehending the huge information. Through information visualization, we can better comprehend large amount of information. Complex relationships of large networks may be grasping more easily and intuitively. In this research, we developed the visualization system, HelloCite. We use prefuse, an open source toolkit, which was implemented using Java programming language. In our system, we focus on visualizing the relationships of papers. We want to utilize this tool to illustrate the literatures’ relationship of a given knowledge domain. With interactive interface, we can offer users a more flexible view of citation networks.
  The features of HelloCite include the following: (1) It can read data from a *.net file, which is defined by a popular network analysis tool called Pajek. (2) It integrates a linkage analysis’ evaluation measurement, PageRank, as an importance ranking weight for each node in citation networks. (3) It provides several filters such as weight scaling filter and distance filter to help user navigate in the citation networks.
第1章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 論文架構 3
第2章 文獻探討 5
2.1 引文分析 5
2.2 資訊視覺化 6
2.3 知識領域視覺化 7
2.4 圖學理論 8
2.5 GraphML 9
2.6 複雜網路 11
2.7 鏈結分析 13
2.8 現今的視覺化系統 15
2.9 視覺系統開發工具 19
第3章 系統設計 23
3.1 總覽 23
3.2 文章與引用的具體表示 24
3.3 系統架構 26
3.4 資料輸入 35
3.5 DotNetReader 36
3.6 佈局與基本的互動 36
3.7 進階的互動功能 38
第4章 系統實作結果 40
4.1 與先前研究之比較 40
4.2 系統介面 42
4.3 標籤切換效果 46
4.4 距離過濾效果 48
4.5 節點大小差異化效果 49
4.6 節點資訊提示效果 52
4.7 引文網路視覺化實例與成效評估 52
第5章 結論與未來研究方向 59
5.1 總結 59
5.2 未來研究方向 59
參考文獻 61
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