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Modeling Random Walk Search Algorithms in Unstructured P2P Networks with Social Information

机译:通过社交信息建模在非结构化P2P网络中的随机步行搜索算法

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Random walk (RW) has been widely used as a strategy for searching in peer-to-peer networks. The boom of social network applications introduces new impact to the classical algorithms on the Internet. In this paper, we model the random walk algorithm in peer-to-peer networks when social information is available. We define the social relationship between two nodes as the knowledge about the resources the other node possesses. We mathematically show that the social information can benefit the searching by extending the existing random walk search model.
机译:随机步行(RW)已被广泛用作搜索点对点网络的策略。社交网络应用的繁荣对互联网上的古典算法引入了新的影响。在本文中,我们在社交信息可用时在点对点网络中模拟随机步行算法。我们在两个节点之间定义社交关系作为关于其他节点拥有的资源的知识。我们在数学上表明社交信息可以通过扩展现有的随机步行搜索模型来利用搜索。

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