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研究生： 賴偉誠
論文名稱： Forum Visualizer: Visualizing an Online Discussion Forum Using Social Network Analysis
指導教授： 邱貴發
學位類別： 碩士
Master
系所名稱： 資訊教育研究所
Graduate Institute of Information and Computer Education
論文出版年： 2004
畢業學年度： 92
語文別： 英文
論文頁數： 113
中文關鍵詞： Social Network Analysis 、Visualization 、Online Discussion Forum 、Virtual Community 、Knowledge Sharing
論文種類： 學術論文
相關次數： 點閱：384  下載：6 
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    • Virtual communities play an important role in knowledge sharing and learning. Recent research has shown that knowledge management and knowledge sharing in virtual communities are important issues for researchers to study more. In addition, the notation of social networks and the methods of social network analysis have attracted considerable interest from social science research community. In this thesis, we developed Forum Visualizer, a web-based tool for visualizing an online discussion forum at a variety of scales with social network analysis techniques. The participants are 44 students from a class of Information Ethics at NTNU. Our goal is to provide a general, intuitive but useful tool for participants to help them understand the community in which they are a part of and find appropriate forum topics for interaction. These visualizations, therefore, are inherently designed to be interfaces for participants in the community rather than for observers, managers, administrators, etc.; their function is to provide a colorful sense of this abstract space, rather than to accurately depict its statistical features. Besides the graphs/sociograms we provide, data matrices are included to help them understand their sociograms easily and to be as a comparison for mapping their social patterns. We hope that this tool can help build a framework for future directions that every online discussion forum could apply to it as embedding functions for analyzing human interactions, finding great knowledge sharing methods, and exploring social patterns and structures.

    List of Tables IV List of Figures V Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 4 1.3 Research Purpose and Questions 5 1.4 Research Scope and Limitations 7 1.4.1 Research Participants 7 1.4.2 Research Data 8 1.4.3 Research Methods 8 1.4.4 Research Tools 9 Chapter 2 Literature Review 11 2.1 Social Network Analysis 11 2.1.1 Using Matrices to Represent Social Relations 15 2.1.2 Social Network Data 16 2.1.3 Data of Analysis 18 2.1.4 Two Views of Social Networks 20 2.1.5 Basic Properties of Networks and Actors 21 2.1.6 Power and Centrality 27 2.2 Applications in Social Networks 32 2.2.1 The Small World Problem 32 2.2.2 Scale-Free Networks 35 2.3 Visualization of Social Networks 38 2.3.1 The Importance 38 2.3.2 Images of Social Networks in Web Browsers 40 2.3.3 Computer Programs for Social Network Analysis 42 2.4 Summary 48 Chapter 3 Research Methods 50 3.1 Research Data 50 3.2 Research Process 51 3.3 Research Tool 53 3.3.1 Development Environment 53 3.3.2 Design Model 53 3.3.3 Forum Visualizer 59 Chapter 4 Research Results and Discussions 68 4.1 General Sociograms and Data Matrices 68 4.1.1 Ego-centric networks 68 4.1.2 Ego-centric networks with alter relations 73 4.1.3 Ego-centric networks by sections 78 4.1.4 Ego-centric networks by sections with alter relations 82 4.1.5 Ego-centric networks by topics 85 4.1.6 Socio-centric network 87 4.1.7 Socio-centric networks by sections 88 4.1.8 Summary 90 4.2 Particular Sociograms and Data Matrices 92 4.2.1 No Relations 92 4.2.2 Only Self-To-Self Relations in Particular Sections 94 4.2.3 Most Self-To Self Relations in Particular Sections 95 4.2.4 Summary 97 Chapter 5 Conclusions 98 5.1 Conclusions and Suggestions 98 5.2 Future Studies 100 References 104 Appendix: Certain Tables in the Database 110

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