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New Technology of Library and Information Service  2013, Vol. 29 Issue (9): 93-98    DOI: 10.11925/infotech.1003-3513.2013.09.15
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A Research of Knowledge Sharing Community Discovery Based on Interaction History Between Peers in P2P Networks
Gao Haiyan1,2, Dou Yongxiang1,2, Qi Yilan1,2
1. School of Economics & Management, Xidian University, Xi’an 710071, China;
2. Philosophy and Social Science Research Base in Shaanxi ——Information Resources Research Center in Shaanxi, Xi’an 710071, China
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Abstract  In this paper, a P2P community discovery method based on interaction history of knowledge sharing is proposed.At first, a research on the generation of interaction history during the knowledge sharing process is conducted,the user interaction network is formed on the basic of interaction history and the similarities between users are calculated. Then, the clustering analysis approach is used to discover the self-organized P2P knowledge sharing community. Finally, an experiment is designed to verify the feasibility and efficiency of the method.
Key wordsKnowledge sharing community      Interaction history      User interaction network     
Received: 01 July 2013      Published: 27 September 2013
:  G351.1  

Cite this article:

Gao Haiyan, Dou Yongxiang, Qi Yilan. A Research of Knowledge Sharing Community Discovery Based on Interaction History Between Peers in P2P Networks. New Technology of Library and Information Service, 2013, 29(9): 93-98.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.09.15     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I9/93

[1] 李瑾,周竹荣.基于用户行为和社区发现的P2P资源检索方法[J]. 计算机工程与应用, 2012,48(21):94-98.(Li Jin,Zhou Zhurong. Search Method of P2P Resource Based on User Behavior and Community Discovery[J]. Computer Engineering and Applications,2012,48(21):94-98.)
[2] Kwok J S H,Gao S. Knowledge Sharing Community in P2P Network: A Study of Motivational Perspective[J]. Journal of Knowledge Management,2004,8(1):94-102.
[3] Havakhor T,Sabherwal R.Knowledge Sharing in Peer-to-Peer Online Communities: The Effects of Recommendation Agents and Community Characteristics[C].In: Proceedings of the 46th Hawaii International Conference on System Sciences(HICSS),Wailea,HI,USA.Washington,DC,USA: IEEE Computer Society,2013:3553-3562.
[4] Ramaswamy L,Gedik B,Liu L.A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks[J].IEEE Transactions on Parallel and Distributed Systems,2005,16(9):814-829.
[5] Tang Y,Zhang Z,Chen S,et al.A Distributed Hybrid Scheme for Unstructured Peer-to-Peer Networks[C].In: Proceedings of IEEE International Conference on Communications,Istanbul,Turkey.IEEE Press,2006.
[6] 牛尔力,单明辉,陈君,等.P2P网络中的社区结构发现方法[J]. 计算机工程,2008,34(24):7-9.(Niu Erli,Shan Minghui,Chen Jun,et al. Community Structure Discovering Method in P2P Networks[J]. Computer Engineering,2008,34(24):7-9.)
[7] Khambatti M,Dasgupta P,Ryu K. Peer-to-Peer Communities: Formation and Discovery[OL]. [2013-01-06]. http://cactus.eas.asu.edu/PARTHA/Papers-PDF/2002/pdcs-iasted-02.pdf.
[8] Weidong G,Wei W. Automatic Community Discovery in Peer-to-Peer Systems[C].In: Proceedings of the 5th International Conference on Grid and Cooperative Computing Workshops(GCCW’06) .2006:110-116.
[9] 杨艳.基于Ontology的P2P社区组织[J]. 计算机工程与应用,2008,44(15):43-47.(Yang Yan. Organization of Ontology-based P2P Communities[J]. Computer Engineering and Applications, 2008,44(15):43-47.)
[10] Li J, Zhou Z R. Community Discovery of P2P Resources Based on Bipartite Graph[C]. In: Proceedings of the International Conference on Computational Intelligence and Software Engineering(CISE’09).2009:1-4.
[11] 朱建东,薛耀峰,蒋丽丽.基于P2P知识共享社区网络模型的研究[J].情报杂志,2010,29(6):105-112.(Zhu Jiandong,Xue Yaofeng,Jiang Lili. The Research of Community Networks Model Based on P2P Knowledge Sharing[J].Journal of Intelligence,2010,29(6):105-112.)
[12] Wang L. SoFA: An Expert-driven, Self-organization Peer-to-Peer Semantic Communities for Network Resource Management[J]. Expert Systems with Applications,2011,38(1):94-105.
[13] Wang L,Hu G X,Liu L Q. Using Domain Trust and Trusted Evaluation for Building Self-organized P2P Semantic Community[C]. In: Proceedings of the International Workshop on Education Technology and Training & the International Workshop on Geoscience and Remote Sensing. 2008:747-751.
[14] 秦春秀,赵捧未,窦永香.面向用户的P2P知识资源语义共享模型研究[J]. 图书情报工作,2011,55(6):104-108.(Qin Chunxiu,Zhao Pengwei,Dou Yongxiang. Research on User-Oriented Model of Knowledge Resource Semantic Sharing in Peer-to-Peer Networks[J].Library and Information Service, 2011,55(6):104-108.)
[15] 阎春霖,张延园.基于用户标签的社区发现方法研究[J]. 科学技术与工程,2011,11(6):1237-1240.(Yan Chunlin,Zhang Yanyuan.Research of Community Discovery Algorithm Based on User Tags[J].Science Technology and Engineering,2011,11(6):1237-1240.)
[16] 任永功,孙宇奇,吕朕.一种基于局部信息的社区发现方法[J]. 计算机工程,2011,37(7):12-14.(Ren Yonggong,Sun Yuqi,Lv Zhen. Community Detection Method Based on Local Information[J]. Computer Engineering,2011,37(7):12-14.)
[17] Newman M E J,Girvan M. Finding and Evaluating Community Structure in Networks[J].Physical Review E,2004,69(2):113-120.
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