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社会网络链接预测研究方法探析

Methods used in studies on link prediction in social networks
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摘要 阐述了近年来链接预测的研究内容及意义,对现有的社会网络链接预测方法及特点进行分析,发现在图书情报学领域链接预测研究虽尚处在应用阶段,但可能成为近年的热点,在生物医学领域中的蛋白质相互作用网络等生物信息网络具有广阔的应用前景。 After a description of the contents and significance of studies on link prediction in recent years, the methods and characteristics of link prediction in social networks were analyzed, which showed that link prediction was still at its application stage, but may become a hotspot in library and information science in the coming years, and has a vast prospect of application in biological information network
作者 宫雪 崔雷
机构地区 中国医科大学图书馆
出处 《中华医学图书情报杂志》 CAS 2016年第5期16-20,共5页 Chinese Journal of Medical Library and Information Science
关键词 链接预测 社会网络 合著网络 引文网络 研究进展 Link prediction Social network Co-authorship network Citation network Advances in research
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论] R-058 [医药卫生]
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参考文献31

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二级参考文献27

  • 1David Liben-Nowell,Jon Kleinberg.The link prediction problem for social networks. Proceedings of the twelfth international conference on Information and knowledge management . 2003
  • 2Zan Huang.Link prediction based on graph topology:The predictive value of the generalized clustering coefficient. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (LinkKDD 2006) . 2006
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  • 8Lu Linyuan,Zhou Tao.Similarity index based on local paths for link prediction of complex networks. Physical Review . 2009
  • 9AI Hasan Mohammad,Chaoji Vineet.Link prediction using supervised learning. Proc of the6th SIAM Int Conf on Data Mining(SDM06) . 2006
  • 10OMadadhain Joshua,Hutchins Jon.Prediction and ranking algorithms for event-based network data. Sigkdd Explorations . 2007

共引文献65

中华医学图书情报杂志
2016年 第5期

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