[1]张燕平,鲍媛媛,赵姝,等.基于学术会议的科研合作网络微观结构动态演化分析[J].智能系统学报编辑部,2015,10(4):620-626.[doi:10.3969/j.issn.1673-4785.201505052]
ZHANG Yanping,BAO Yuanyuan,ZHAO Shu,et al.Dynamic microscopic structure evolution analysis for the author collaboration network of academic conferences[J].CAAI Transactions on Intelligent Systems,2015,10(4):620-626.[doi:10.3969/j.issn.1673-4785.201505052]
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《智能系统学报》编辑部[ISSN 1673-4785/CN 23-1538/TP] 卷:
10
期数:
2015年第4期
页码:
620-626
栏目:
学术论文—机器感知与模式识别
出版日期:
2015-08-25
- Title:
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Dynamic microscopic structure evolution analysis for the author collaboration network of academic conferences
- 作者:
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张燕平1,2, 鲍媛媛1,2, 赵姝1,2, 陈洁1,2, 黄梦晗1,2
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1. 安徽大学 计算机科学与技术学院, 安徽 合肥 230601;
2. 安徽大学 计算智能与信号处理教育部重点实验室, 安徽 合肥 230601
- Author(s):
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ZHANG Yanping1,2, BAO Yuanyuan1,2, ZHAO Shu1,2, CHEN Jie1,2, HUANG Menghan1,2
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1. School of Computer Science and Technology, Anhui University, Hefei 230601, China;
2. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230601, China
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- 关键词:
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演化; 科研合作网; 意见领袖; 结构洞; 微观结构; PageRank; 学术会议; 引用数
- Keywords:
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evolution; author collaboration network; opinion leader; structural hole; microscopic structure; PageRank; academic conferences; number of citations
- 分类号:
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TP399
- DOI:
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10.3969/j.issn.1673-4785.201505052
- 文献标志码:
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A
- 摘要:
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学术科研合作网络的演化特征研究,对掌握特定学术会议的发展有着重要的意义。目前主要针对合作网络的宏观特征演化进行分析,然而个体研究者的演化规律同样有着重要的作用。使用DBLP数据库系统提供的人工智能与模式识别领域的学术会议论文作者信息以及清华大学ArnetMiner系统下载的公用数据集作为原始数据,对合作发表论文形成的合作网络进行了研究。基于意见领袖和结构洞,从微观方面分析科研合作网络随时间发展的演化规律。实验结果表明:在给出的数据集上,以引用数作为意见领袖影响力衡量指标,按照PageRank值和度中心性指标比特征向量、接近中心性、介数中心性指标具有更好的刻画节点影响力的能力;在该网络演化过程中,结构洞变化相比于意见领袖的变化较稳定,每年占据结构洞的作者基本相同。结构洞的占据者大部分是意见领袖,并且这些作者在网络中占据结构洞的程度越来越大;且在网络演化过程中,结构洞占据者有可能成为意见领袖。
- Abstract:
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This paper makes an analysis on the author collaboration network of academic conferences. Based on the opinion leaders and structural holes, the evolution law of the collaboration network of academic conferences developing with time is analyzed from the microscopic view. The evolution characteristics of the academic author collaboration network have very important significance for grasping the development of the particular academic conferences. Currently, researchers mainly focus on the evolution analysis of macroscopic characteristics, but the evolution law of the individual researchers also plays an important role. Author information of conference papers in the field of artificial intelligence and pattern recognition provided by the Database systems and logic programming (DBLP) and the public datasets downloaded from the ArnetMiner system of Tsinghua University are taken as the original data. The experimental results show that in the given dataset, when using the number of citations as the index to measure the opinion leader, the indexes of PageRank and degree centrality are more capable of describing node’s influence than eigenvector, closeness centrality, betweenness centrality, and in the network evolution process. The change of structural hole is more stable than that of opinion leader, and the authors occupying structural holes are basically consistent each year. Most of structural hole occupiers are opinion leaders, also the ability of occupying structural holes is becoming better and better. In the process of network evolution, the structural hole occupiers are likely to be opinion leaders.
备注/Memo
收稿日期:2015-05-29;改回日期:。
基金项目:国家自然科学基金资助项目(61175046;61402006);安徽省自然科学基金资助项目(1508085MF113);安徽省高等学校自然科学研究资助项目(KJ2013A016);安徽大学国家级大学生创新创业训练计划资助项目(201410357041).
作者简介:张燕平,女,1962年生,教授,主要研究方向为智能计算与商空间理论、机器学习、三支决策等。主持完成省基金项目、省产学研项目多项,参加了多项国家973及国家重点基金项目;主持并完成国家自然科学基金项目1项。主持国家质量工程特色专业项目“计算机科学与技术”。获发明专利2项,获软件著作权2项。发表学术论文80余篇,其中SCI、EI、ISTP收录30多篇,出版专著1部;鲍媛媛,女,1990年生,硕士研究生,主要研究方向为社交网络;赵姝,女,1979年生,副教授,博士,主要研究方向为商空间理论、粒度计算、机器学习等。申请专利3项,其中已获专利号1项,获软件著作权1项,发表学术论文10余篇。
通讯作者:赵姝.E-mail:zhaoshuzs@163.com.
更新日期/Last Update:
2015-08-28