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基于云计算的文献合作网络的社团划分及演化分析
引用本文:杜雅红,白云龙,吴斌.基于云计算的文献合作网络的社团划分及演化分析[J].数字图书馆论坛,2010(8):46-54.
作者姓名:杜雅红  白云龙  吴斌
作者单位:北京邮电大学智能通信软件与多媒体北京市重点实验室,北京,100876
基金项目:国家自然科学基金项目,国家"十一五"科技支撑计划项目 
摘    要:随着各领域科学研究的开展,文献数据与日俱增,关于文献数据的更深入的研究对于科研对象的评价与趋势分析具有重要意义.同时,随着分析方法的成熟和应用场景的延伸,文献的分析带给研究人员的一个挑战是如何在超大规模数据(PB级)中进行有效的挖掘.工业界和学术界越来越倾向于使用基于分布式密集数据计算模型,如MapReduce等,来进行大规模数据挖掘.文章在云计算平台上实现了文献数据的社团发现算法,并对学术会议的演化进行了分析.通过分析,可以清晰地看到活跃在学术会议中的科研合作团队的核心科研工作者,这对进一步了解学术会议研究方向及动态具有很强的指导性作用.

关 键 词:文献数据  图挖掘  社团划分  演化分析  云计算

Community Detection and Evolution Analysis of Co-authorship Networks Based on Cloud Computing
Du Yahong,Bai Yunlong,Wu Bin.Community Detection and Evolution Analysis of Co-authorship Networks Based on Cloud Computing[J].Digital Library Forum,2010(8):46-54.
Authors:Du Yahong  Bai Yunlong  Wu Bin
Institution:Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876
Abstract:With the growing amount of bibliographies and expanding of scientific research, more in-depth research about bibliographic data is needed. At the same time, the continued exponential growth in both the volume and the complexity of information is giving birth to a new challenge to data analysts. To meet this challenge, a new class of techniques and computing platforms, such as MapReduce model, which mainly focuses on scalability and parallelism, has been emerging in research and industry area. An innovative community detection algorithm based on Mapreduee is proposed in this paper. Detailed analysis ofa dataset of one academic conference is given as a case study of community evolution.
Keywords:Bibliographic data  Graph mining  Community detection  Community evolution  Cloud computing
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