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Introducing Social Aspects to Search in Peer-to-Peer Networks

机译:在对等网络中引入社交方面进行搜索

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摘要

Searching social networks is determined by two factors: reputation and relevance. Reputation is the memory and summary of behavior from past transactions. Relevance is the probability that useful information can be obtained from a person. Search in social networks is performed by asking persons of high relevance and a good reputation or persons who are supposed to know somebody like that. We describe how these social aspects can be used in peer-to-peer networks in order to increase efficiency and scalability. Based on a social peer-to-peer network a knowledge management application with advantages over centralized approaches can be implemented.
机译:搜索社交网络由两个因素决定:声誉和相关性。信誉是过去交易行为的记忆和总结。相关性是可以从一个人那里获得有用信息的可能性。在社交网络中搜索是通过询问具有高度相关性和良好声誉的人或应该认识这样的人来进行的。我们描述了如何在点对点网络中使用这些社交方面的内容,以提高效率和可伸缩性。基于社交对等网络,可以实现相对于集中式方法具有优势的知识管理应用程序。

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