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研究生:林伯翰
研究生(外文):Po-Han Lin
論文名稱:ExploringHelpingBehaviorusingSocialNetworkAnalysisandVisualization
論文名稱(外文):以社會網路及視覺化方法探索助人行為現象
指導教授:王俊程王俊程引用關係
指導教授(外文):Jyun-Cheng Wang
學位類別:碩士
校院名稱:國立清華大學
系所名稱:科技管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
畢業學年度:96
語文別:英文
論文頁數:67
中文關鍵詞:社會網路助人行為持續助人視覺化
外文關鍵詞:Social networkHelping behaviorContinued helping behaviorPay it forwardVisualization
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The helping behaviors are being discussed over many years, from psychology to sociology to understand the motivation and others direction of helping behavior. After many research study the motivation of the group, this research will explore the helping behavior from the structure and relation perspective. We used social network analysis to discover the helping behavior in the group; also, we used visualization to recognize the helping behavior.

This research used real helping behavior on the internet to collect data. The main purpose of the research is to explore the helping behavior and observe the evolution in different month and discover the valuable members. Beside, visualize diagram can help the manager to identify the valuable member and the problem in the easily. Therefore, manager can plan the strategy to help the group growth.

There are three conclusions in this research. First of all, the members and the group close level are growing rapidly. Secondly, monthly data with visualization can help manager find out the valuable members that can help the group growth. Last of all, Triad relation and Clique-overlap members have large percentage of pay it forward behavior; Clique-overlap members also have large percentage of continued helping behavior. As the result, we can increase Triad relation and Clique-overlap members that may increase pay it forward and continued helping behavior. Consequently, the manager in addition to focus on the two nodes relation, they can try to increase the triads’ relation and clique overlap members to help the group growth.
CHAPTER1. INTRODUCTION 1
1.1 RESEARCH BACKGROUND AND MOTIVATION 1
1.2 RESEARCH OBJECTIVES 4
1.3 RESEARCH PHASES 5
CHAPTER2. LITERATURE REVIEW 7
2.1 HELPING BEHAVIOR 7
2.1.1The meaning of helping behavior 7
2.1.2 Helping behavior in the Internet 8
2.1.3 Decision process of helping behavior 11
2.2 DIFFUSION 12
2.2.1Diffusion network 12
2.3 SOCIAL NETWORK ANALYSIS 16
CHAPTER3. RESEARCH FRAMEWORK 20
3.1 DATA COLLECTION 20
3.1.1 Data resource 20
3.1.2 Data processing 21
3.2 VISUALIZE 23
3.2.1 Visualize tool 23
3.2.2 Adjustment of relation in this research 27
3.3RESEARCH STRUCTURE AND PROCESS 28
CHAPTER4. RESULTS AND EXPLANATION 29
4.1 EXPLORING THE HELPING BEHAVIOR IN HELPING GROUP 29
4.1.1 Statistic and visualize outcome in helping group 29
4.1.1.1 Group introduction 30
4.1.1.2 Using degree to separate the group 33
4.1.2 Special helping behavior by visualization diagram 35
4.1.2.1 Monthly evolution by k-core 36
4.1.2.3 Clique 41
4.1.2.4 Triads 44
4.1.2.5 Positive development 46
4.1.2.6 Verify the helping behavior people 47
4.1.3 Problems in helping group 48
4.1.3.1 Selfish problem 48
4.1.3.2 Spontaneous behavior 49
4.1.3.3 Without continued helping behavior 50
4.2 PAY IT FORWARD AND CONTINUED HELPING BEHAVIOR 51
4.2.1 Pay it forward 51
4.2.1.1Pay it forward in the group 51
4.2.1.2 Triads and clique-overlap in pay it forward 53
4.2.2 Continued helping behavior 55
4.2.2.1 Continued helping behavior in the group 55
4.2.2.2 Triads and clique-overlap in continued helping behavior 57
CHAPTER5. CONCLUSION AND FUTURE WORK 59
5.1 CONCLUSION 59
5.2 RESEARCH LIMITATION 62
5.3 FUTURE WORK 63
REFERENCE 64
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