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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29123

    Title: Improving peer-to-peer search performance through intelligent social search
    Authors: Yang,SJH;Zhang,J;Lin,L;Tsai,JJP
    Contributors: 資訊工程研究所
    Date: 2009
    Issue Date: 2010-06-29 20:14:16 (UTC+8)
    Publisher: 中央大學
    Abstract: As a large amount of information is added onto the Internet on a daily basis, the efficiency of peer-to-peer (P2P) search has become increasingly important. However, how to quickly discover the right resource in a large-scale P2P network without generating too much network traffic remains highly challenging. In this paper, we propose a novel P2P search method, by applying the concept of social grouping and intelligent social search: we derive peers into social groups in a P2P network to improve search performance. Through a super-peer-based architecture, we establish and maintain virtual social groups on top of a P2P network. The interactions between the peers in the P2P network are used to incrementally build the social relationships between the peers in the associated social groups. In such a P2P network, a search query is propagated along the social groups in the overlay social network. Our preliminary experiments have demonstrated that our method can significantly shorten search routes and result in a higher peer search performance. In addition, our method also enhances the trustworthiness of search results because searches go through trusted peers. (C) 2009 Elsevier Ltd. All rights reserved.
    Appears in Collections:[資訊工程研究所] 期刊論文

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