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

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.