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兼顾时空特征的领导人出访事件可视分析

Visual Analysis of Leaders’Visiting Events Considering the Characteristics of Time and Space
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摘要 可视分析领导人出访事件的时空特征对量化分析国际关系具有重要意义。通过采集全球领导人出访的相关新闻文本数据,利用LDA模型抽取新闻主题,设计领导人出访事件数据模型,采用时间序列统计分析方法对出访事件的时间特征进行可视分析,得出领导人出访事件的时间规律、出访主题的演变规律及出访主题之间的相关性;对出访事件的空间特征进行可视分析,得出全球大国博弈的热点地区分布情况和部分国家的外交政策;结合复杂网络模型,使用地理-网络关系图对国家双边关系进行可视分析,得出国家之间的双边关系概览情况。 Visual analysis of the temporal and spatial characteristics of leaders’visits is of great significance to the quantitative analysis of international relations.In this paper,by collecting the relevant news text data of global leaders’visits,and using LDA model to extract news topics,we design a data model of leaders’visits.It uses time series statistical analysis method to visually analyze the time characteristics of the visits,and gets the time rule of leaders’visits,the evolution rule of the visits and the correlation between the visits.Based on the visual analysis of the spatial characteristics of the visiting events,the distribution of the hot spots of the global power game and the foreign policies of some countries are obtained.Combined with the complex network model,the geographic network diagram is used to carry out the visual analysis of the bilateral relations between countries,and the overview of the bilateral relations between countries is obtained.
作者 刘建湘 刘海砚 刘一萱 李佳 康磊 LIU Jianxiang;LIU Haiyan;LIU Yixuan;LI Jia;KANG Lei(University of Information Engineering,Zhengzhou 450001,China;Unit 96669,Beijing 100000,China)
机构地区 信息工程大学 [
出处 《信息工程大学学报》 2020年第4期482-489,共8页 Journal of Information Engineering University
基金 国家自然科学基金资助项目(41801313)。
关键词 领导人出访 事件 LDA模型 时间序列统计分析 复杂网络 时空特征 leader visit event LDA time series statistical analysis complex network temporal and spatial characteristics
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  • 1张巍,龚健雅.地理信息系统中复杂地物的OO模型[J].测绘学报,1995,24(4):293-300. 被引量:7
  • 2陈军,陈尚超,唐治锋.用非第一范式关系表达GIS时态属性数据[J].武汉测绘科技大学学报,1995,20(1):12-17. 被引量:40
  • 3夏云庆,黄锦辉,张普.中文网络聊天语言的奇异性与动态性研究[J].中文信息学报,2007,21(3):83-91. 被引量:8
  • 4[1]Hernandez M,Stolfo S. The Merge/Purge Problem for Large Databases[A]. Proceedings of the ACM SIGMOD International Conference on Management of Data[C]. 1995. 127-138.
  • 5[2]Monge A,Elkan C. An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records[A]. Proceedings of SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery[C]. Tucson,Arizona,1997.
  • 6[3]McCallum A,Nigam K,Ungar L. Efficient Clustering of High-Dimensional Data Sets with Application to Reference Matching[A]. Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining[C]. 2000. 169-178.
  • 7[4]Clarke CLA,Cormack GV. Dynamic Inverted Indexes for a Distributed Full-Text Retrieval System[R]. Technical Report MT-95-01.
  • 8[5]Salton G,Buckley C. Term-Weighting Approaches in Automatic Text Retrieval[J]. Information Processing and Management,1988,24(5):513-523.
  • 9[6]Levenshtein V. Binary Codes Capable of Correcting Deletions,Insertions and Reversals[J]. Soviet Physics-Doklady10,1966,10(8):707-710.
  • 10[7]Nyberg C,Barclay T,Cvetanovic Z,et al. AlphaSort:A RISC Machine Sort[A]. Proceedings of the 1994 ACM-SIGMOD Conference[C]. 1994. 233-242.

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