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研究生： 張凱喻
Chang, Kai-Yu
論文名稱： 視覺化及雙維網路分析方式之專利地圖建置分析
Visualization and 2-Mode Network Analysis For Patent Map Construction
指導教授： 王俊程
Wang, Jyun-Cheng
口試委員:
學位類別： 碩士
Master
系所名稱： 科技管理學院 - 科技管理研究所
Institute of Technology Management
論文出版年： 2007
畢業學年度： 95
語文別： 英文
論文頁數： 54
中文關鍵詞： 專利地圖 、社會網路分析 、視覺化 、二維網路分析
外文關鍵詞： Patent map, Social networks analysis, Visualization, 2 mode analysis
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    • 本研究著重於新的專利分析方法的實驗及新創，並且提供了和過往專利地圖不同新的專利地圖。利用了視覺化及社會網路分析中的二維分析方法，提升查詢及分析上的效率，同時也發現不同於資料探勘或其他統計方法之額外結果。二維分析的優點在於可以快速比較大量的資料，並找出其中潛在的互動模式等訊息。加上視覺化之輔助，可以更有效率地利用專利分析工程師本身經驗及知識，發掘出更有價值之專利分析內容。本研究利用視覺化及二維網路之特性，提供了新的關聯式分群方法，其分群結果亦實證能更有效於專利分析。

    In this research, the new way of patent analysis was introduced. It provides another new view of patent map. Different from previous, the new one uses the visualization and 2-mode of social network analysis to construct a new kind of patent map. The 2-mode helps to quickly to compare and find out the specific pattern in patent attribute. With the assistance of visualization, the new result almost outcomes instantly. The new kind of graphic view could be help for patent analysis engineer to do the patent search or patent portfolio. The comparison and potential information could be shown via interpreting from the map. The new cluster way from graph also provides different meaning from data-mining one. The new way could be new and helpful choice when doing patent analysis.

    INDEX CHAPTER 1 INTRODUCTION 1 1.1 RESEARCH BACKGROUND AND MOTIVATION 1 1.2 RESEARCH OBJECTIVES 3 1.3 RESEARCH PHASES 4 CHAPTER 2 REVIEW OF LITERATURE 7 2.1 PATENT ANALYSIS AND PATENT MAP 7 2.2 PATENT CITATION ANALYSIS 12 2.3 2-MODE RELATIONSHIP IN SOCIAL NETWORK ANALYSIS 16 CHAPTER 3 RESEARCH FRAMEWORK 19 3.1 PATENT DATA COLLECTION 19 3.1.1 Patent Data Resource 19 3.1.2 Data Collection and Extracting 20 3.2 VISUALIZE AND CLUSTERING 23 3.2.1 Visualize Tool: Semaspace 23 3.2.2 Representation for 2-mode Relation 25 3.2.3 Adjustment for Citation node 26 3.3 VISUAL OUTCOME PROCESS 28 3.4 RESEARCH STRUCTURE AND PROCESS 29 CHAPTER 4 VISUALIZED RESULTS AND EXPLAINATION 30 4.1 EXAMPLE OF TECHNIQUE ROADMAP 30 4.1.1 Collected Patent Data and Usage 30 4.1.2 Outcomes and Explanations 31 4.1.3 Example Discussion 37 4.2 EXAMPLE OF CITATION RELATION CLUSTER 40 4.2.1 Collected Patent Data Purpose and Usage 40 4.2.2 Outcomes and Explanations 42 4.2.3 Example Discussion 48 CHAPTER 5 CONCLUSION AND FUTURE WORK 49 5.1 CONCLUSION 49 5.2 RESEARCH LIMITATION 51 5.3 FUTURE WORK 52 CHAPTER 6 REFERENCE 53

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