徐秀娟

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:吉林大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程

办公地点:开发区综合楼

电子邮箱:xjxu@dlut.edu.cn

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论文成果

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Visualization of Ranking Authors Based on Social Networks Analysis and Bibliometrics

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论文类型:会议论文

发表时间:2016-10-24

收录刊物:EI、CPCI-S

卷号:9929

页面范围:288-295

关键字:Visualization; Author ranking; Social network; Intelligent transportation system

摘要:It is interesting to rank scientists in a specific field, which would help researchers to know about the research status of the field and gain valuable insight on future technical trends in the field. Our paper visualizes the results of author ranking with the consideration of authors' contribution. In this paper, every author's contribution to his/her field is calculated according to the co-authorship among papers. By extracting the papers and authors information from a field since they started publication, the co-author network are constructed. We also get the clusters partition of those authors by Girvan-Newman algorithm. For conducting detailed experiments to show the visualized our results, we select the field of Intelligent transportation system (ITS) as an example. Since thousands of papers were published by scientists each year in the ITS field, academic co-authorship in this field expands fast. We design our dataset composed by data from four journals in the ITS field to visualize our algorithm.