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研究生:江其勳
研究生(外文):Chi-hsun Chiang
論文名稱:點對點網路之動態團隊組成研究
論文名稱(外文):The Study of Dynamic Team Formation in Peer-to-Peer Networks
指導教授:林福仁林福仁引用關係
指導教授(外文):Fu-ren Lin
學位類別:碩士
校院名稱:國立中山大學
系所名稱:資訊管理學系研究所
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:2004
畢業學年度:92
語文別:英文
論文頁數:88
中文關鍵詞:點對點網路架構JXTA模糊適應共振理論社會網絡分析組隊社會網路
外文關鍵詞:fuzzy adaptive resonance theorysocial network analysisteam formingpeer-to-peer networksJXTAsocial network
相關次數:
  • 被引用被引用:0
  • 點閱點閱:203
  • 評分評分:
  • 下載下載:32
  • 收藏至我的研究室書目清單書目收藏:8
目前的虛擬社群都是建立在主從架構下的網路服務。然而在主從架構下建立的服務仍有一些不足之處,如維護的成本隨著社群的擴大而快速的增加,以及個人資料集中也增加誤用的風險。在點對點網路架構底下有許多優點可以改善或避免在主從架構中的不足之處。因此我們的研究打算將虛擬社群的應用擴展到點對點的網路架構中。
而在虛擬社群的組隊的方法目前有兩種主要的方式,一是依靠人與人的關係決定,二是依靠個人的能力指標來分組。但這兩種方式各有所偏重。在本研究之中,我們在目前的方法之中引入社會網路的概念來幫助團隊的組成以便克服目前方法的不足。除此之外,由於點對點網路的天性就是任何的資料交換與處理都必須經由網路上訊息的傳遞才可行,因此本研究所提出的方法論亦著重在減少網路上的傳遞成本,以便在團隊組成的過程中以更高的效率來完成,此外更能保持所選出來的團隊成員的能力都能儘可能的符合所要求的工作。
Most of virtual communities are built on the client/server system. There are some limitations on the client/server system such as the maintenance cost and the personal attribute protection. The peer-to-peer system has some strengths to overcome the limitations of client/server system. Therefore, we are willing to export the virtual community on the peer-to-peer system.
There are two main team formation approaches in the current virtual community collaboration. Either one of these approaches alone has its limitations. In this study, we adopt the social network concept to design a team formation mechanism in order to overcome the limitations of current approaches. Besides, because of the natural of peer-to-peer system, the exchange of messages is sending and receiving on the network. The mechanism proposed in this research can also reduce the traffic cost of the team formation process. Furthermore, it maintains the fitness of members who are chosen in the same team.
Chapter 1. Introduction 10
1.1 Research Background 10
1.2 Research Motivation 12
1.3 Research Objectives 13
1.4 Research Limitations 14
1.5 Thesis Organization 14
Chapter 2. Literature Review 16
2.1 Peer to Peer Networks 16
2.2 JXTA 18
2.3 Social Network Analysis 21
2.4 Dynamic Team Formation 22
2.5 Fuzzy Adaptive Resonance Theory (Fuzzy ART) 24
Chapter 3. Research Framework 27
3.1 The Design of Team Formation Mechanisms 28
3.1.1 Social Network Updating 29
3.1.2 Learning to allocate Candidates 31
3.1.3 Invitation candidates to form a team 33
3.1.4 Task execution 34
3.2 The Development of Communication Platform 35
3.2.1 General purpose functions 36
3.2.2 Specific functions 38
3.3 The Design of Evaluation 41
Chapter 4. Experimental Results 43
4.1 Experimental Design 43
4.2 Hypothesis 46
Chapter 5. Analysis of Experimental Results 48
5.1 Social Network Analysis 48
5.1.1 Mean degree and density 50
5.1.2 K-core 51
5.1.3 Closeness centrality 62
5.2 Dependence Variables Analysis 72
5.2.1 Traffic cost 72
5.2.2 Expertise gap 75
Chapter 6. Conclusion and Future Research 78
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