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Ranking Structural Parameters for Social Networks

机译:社交网络的结构参数排名

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The emergence of various social networks on the web have transformed the way people share, and search for, information. A key distinguishing feature of social networks is that the link between the users are more important than the users themselves. There are numerous studies on the link analysis of Social Network for efficient and effective retrieval of user desired information. In this paper,we study the link analysis of social networks to rank individual links so that we have established a bridge between keyword search based from the information retrieval and the structure from the social networks successfully.
机译:网络上各种社交网络的出现改变了人们共享和搜索信息的方式。社交网络的主要区别特征是用户之间的链接比用户本身更重要。为了有效地检索用户所需信息,对社交网络的链接分析进行了大量研究。在本文中,我们研究了社交网络的链接分析以对各个链接进行排名,从而成功建立了基于信息检索的关键字搜索与社交网络的结构之间的桥梁。

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