臺灣博碩士論文加值系統

　　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

1.McBurney, M. K. and Novak, P. L. What is bibliometrics and why should you care? in Proceedings of IEEE International Professional Communication Conference, 2002. IPCC 2002. 2002: IEEE.
2.White, H. D. and Griffith, B. C., Author Cocitation: A Literature Measure of Intellectual Structure. Journal of the American Society for Information Science, 1981. 32(3): p. 163-171.
3.Chen, C. and Paul, R. J., Visualizing a knowledge domain's intellectual structure, in Computer, R.J. Paul, Editor. 2001. p. 65-71.
4.Chen, K. H., et al., The Development of Citation Analysis. Shu Fu, 1998. 18/19: p. 15-47.
5.Shepard's Citations. 2008 [cited 2008 Jun 1]; Available from: http://en.wikipedia.org/wiki/Shepard's_Citations.
6.Garfield, E., Citation Indexes for Science - A New Dimension in Documentation through Association of Ideas. Science, 1955. 122: p. 108-111.
7.Chen, T. T. and Hsieh, L. C., On Visualization of Cocitation Networks, in Proceedings of the 11th International Conference Information Visualization. 2007, IEEE Computer Society.
8.Healey, C. G. Perception in Visualization. 2007 [cited 2007 Sep 30]; Available from: http://www.csc.ncsu.edu/faculty/healey/PP/index.html.
9.Playfair, W., The Commercial and Political Atlas. 1786.
10.Mackinlay, J. D., Opportunities for information visualization. Computer Graphics and Applications, IEEE, 2000. 20(1): p. 22-23.
11.Keim, D. A., et al. Challenges in Visual Data Analysis. in Information Visualization, 2006. IV 2006. 2006.
12.Card, S. K., Mackinlay, J. D., and Shneiderman, B., Readings in information visualization: using vision to think. 1999: Morgan Kaufmann Publishers Inc. San Francisco, CA, USA.
13.Gershon, N., Eick, S. G., and Card, S., Information Visualization, in interactions. 1998, ACM. p. 9-15.
14.Shneiderman, B. The eyes have it: a task by data type taxonomy for information visualizations. in Visual Languages, 1996. Proceedings., IEEE Symposium on. 1996.
15.Börner, K., Chen, C., and Boyack, K. W., Visualizing knowledge domains. Annual Review of Information Science & Technology, 2003. 37(1): p. 179-255.
16.Liu, C. L., Elements of Discrete Mathematics. 2 ed. Computer Science. 1985: McGraw-Hill. 433.
17.GraphML Team. The GraphML File Format. 2007 [cited 2007 Oct 19]; Available from: http://graphml.graphdrawing.org/.
18.Boccaletti, S., et al., Complex networks: Structure and dynamics. Physics Reports, 2006. 424(4-5): p. 175-308.
19.Strogatz, S. H., Exploring complex networks, in NATURE. 2001. p. 288-276.
20.Network Analysis. 2008 [cited 2008 Jun 10]; Available from: http://en.wikipedia.org/wiki/Network_analysis.
21.Martins, B. WebLA: Web Linkage Analysis. 2008 [cited 2008 Feb 27]; Available from: http://webla.sourceforge.net/.
22.Page, L. and Brin, S. PageRank. 1995 [cited 2008 May 1]; Available from: http://en.wikipedia.org/wiki/PageRank.
23.Google. Google Technology. 2008 [cited 2008 Jun 30]; Available from: http://www.google.com/corporate/tech.html.
24.InxightSoftware. Inxight Tablelens: The Fastest Way to Turn Data into Decisions. 2007 [cited 2007 Nov 20]; Available from: http://www.inxight.com/products/sdks/tl/.
25.ETH Zurich. VisuLab: Interactive data visualisation in Microsoft Excel. 2007 [cited 2007 Nov 20]; Available from: http://www.inf.ethz.ch/personal/hinterbe/Visulab/.
26.Adar, E. GUESS: The Graph Exploration System. 2007 [cited 2007 Nov 23]; Available from: http://graphexploration.cond.org/.
27.Cummings, J. NetVis Module - Dynamic Visualization of Social Networks. 2007 [cited 2007 Nov 19]; Available from: http://www.netvis.org/.
28.Batagelj, V. and Mrvar, A. Networks/Pajek: Program for Large Network Analysis. 2007 [cited 2007 Apr 1]; Available from: http://vlado.fmf.uni-lj.si/pub/networks/pajek/.
29.TouchGraph. TouchGraph Google Browser. 2007 [cited 2007 Oct 20]; Available from: http://www.touchgraph.com/.
30.Pacific Northwest National Laboratory. IN-SPIRE: See Something Different. 2007 [cited 2007 Oct 30]; Available from: http://in-spire.pnl.gov/.
31.Chen, C. CiteSpace: Visualizing Patterns and Trends in Scientific Literature. 2007 [cited 2007 Nov 11]; Available from: http://cluster.cis.drexel.edu/~cchen/citespace/.
32.Grosjean, J. and Clamage, A. Piccolo: A Structured 2D Graphics Framework. 2006 [cited 2007 Aug 15]; Available from: http://www.cs.umd.edu/hcil/jazz/index.shtml.
33.Martin, K., Schroeder, W., and Lorensen, B. VTK: The Visualization Toolkit. 2007 [cited 2007 Aug 15]; Available from: http://www.vtk.org/.
34.O'Madadhain, J., Fisher, D., and Nelson, T. JUNG: Java Universal Network/Graph Framework. 2007 [cited 2007 Aug 15]; Available from: http://jung.sourceforge.net/.
35.Heer, J., Card, S. K., and Landay, J. A. prefuse: Information Visualization Toolkit. 2007 [cited 2007 Apr 30]; Available from: http://prefuse.org/.
36.Heer, J., Card, S. K., and Landay, J. A. prefuse: a toolkit for interactive information visualization. in Proceedings of the SIGCHI conference on Human factors in computing systems. 2005. Portland, Oregon, USA: ACM.
37.flare: Visualizaiton on the Web. 2008 [cited 2008 May 1]; Available from: http://flare.prefuse.org/.
38.Fang, C. H., Information Visualization: A Case Study in Citation Network, in Graduate Institute of Information Management. 2007, National Taipei University.
39.Chen, T. T. and Liu, O. Automated Gathering and Integrating Literature Information: A Multi-Agents Interacting with Search Engines. in The 2008 International Joint Conference on e-Commerce, e-Administration, e-Society, and e-Education. 2008. Bangkok, Thailand: Knowledge Association of Taiwan.