基于兴趣和信任评价的P2P语义社区模型  

P2P Semantic Community Model Based on Interest and Trust Evaluation

作　　者：王莉[1] 胡高霞[1] 

机构地区：[1]太原理工大学计算机与软件学院,太原030024

出　　处：《计算机工程》2009年第13期11-13,16,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60472093);山西省自然科学基金资助项目(2006021015);山西省教育厅高校科技开发基金资助项目(2007111);太原市大学生创新基金资助项目(07010726)

摘　　要：针对大规模网络中P2P信息共享面临的资源定位问题和"搭便车"现象,在考虑节点语义相似度、信任度和活跃强度的基础上,提出一种语义社区构建方法,提高P2P资源组织的结构性和定位准确性。建立基于信任评价的语义社区动态调整机制,以减少或消除"搭便车"的节点。Aiming at the resource-located problems and free-riding phenomenon during sharing P2P information in large scale network, this paper proposes a semantic community establishing method based on consideration of semantic similarity degree, trust degree and active strength, which improves the structural and resource-located veracity of P2P resource organization. A dynamic evolution mechanism of communities based on trust evaluation is built to reduce and eliminate the free-rider peers.

关 键 词：对等网络 语义社区 信任 活跃强度 搭便车 

分 类 号：N945.15[自然科学总论—系统科学]