Please wait a minute...
Advanced Search
现代图书情报技术  2015, Vol. 31 Issue (9): 68-75    DOI: 10.11925/infotech.1003-3513.2015.09.10
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
合著网络加权模式下科研团队的发现与评价研究
任妮, 周建农
江苏省农业科学院农业经济与信息研究所 南京 210014
The Discovery and Evaluation of Research Team Under the Mode of Weighted Co-Author Network
Ren Ni, Zhou Jiannong
Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
全文: PDF(1679 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

[目的]通过加权的合著网络关系研究, 发现、分析和评价某一机构或学科领域的科研团队情况。[方法]利用合著次数、合著人数、作者排名、被引频次等要素构建一种综合性的合著网络加权模型, 并借助社会网络分析方法进行科研团队发现和评价的实证研究。[结果]利用该模型发现的虚拟科研团队和评价结果与实际科研团队的调研结果相符。且该方法能够综合多种影响因素, 客观评价科研团队的结构组成和影响力情况。[局限]为确保得到现实中科研团队的详细情况以验证该模型的研究结论, 选择笔者所在的科研机构作为评价对象, 使得实证研究的范围较小;且数据类型覆盖面存在局限性。[结论]该方法适用于某一范围内科研团队发现、结构关系分析及建设情况评价, 有助于快速熟悉团队, 为团队的发展完善提供依据。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
Abstract

[Objective] Discovering, analyzing and evaluating the research team of an organization or subject through the study of the weighted co-author network. [Methods] Build a comprehensive weighted model of the co-author network with the factors of co-author frequency, number, ranking, cited frequency and so on. Make an empirical research on the discovery and evaluation of research team with the method of social network analysis. [Results] The virtual team and its evaluating results got from this method is consistent with the research results about the actual team.The method can synthesize multiple influence factors, and objectively evaluate the structure and influence of the research team. [Limitations] In order to ensure the physical details of the actual team can be got to verify the research results, the authors choose their own institution as the evaluation object, and which makes the range of empirical research is narrow. The data type is unitary. [Conclusions] The method is suitable for the discovery of research team, the analysis of the relationship, and the evaluation of the construction within some scopes. These results are helpful to quickly know the team well, and provide the information for team optimization.

收稿日期: 2014-12-02     
:  G353.1  
基金资助:

本文系2014年度江苏省农业经济与科技发展项目“基于科技论文产出的科研团队竞争力评价研究”(项目编号:JK1414)、全国“农科联盟”第二期课题基金项目“华东六省(市)农业科学院学术竞争力的比较研究”(项目编号:201403)和2015年度江苏省农科院基本科研业务专项“农业科研机构及学科建设的影响力评价”(项目编号:ZX(15)3014)的研究成果之一。

通讯作者: 周建农, ORCID: 0000-0003-0973-9373, E-mail: zjn@jaas.ac.cn。     E-mail: zjn@jaas.ac.cn
作者简介: 作者贡献声明:任妮:研究过程的实施,数据采集、清洗、分析,论文撰写;周建农:提出研究思路,设计研究方案,论文定稿。
引用本文:   
任妮, 周建农. 合著网络加权模式下科研团队的发现与评价研究[J]. 现代图书情报技术, 2015, 31(9): 68-75.
Ren Ni, Zhou Jiannong. The Discovery and Evaluation of Research Team Under the Mode of Weighted Co-Author Network. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2015.09.10.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2015.09.10

[1] 谭晓, 韩涛. 中国科学研究国际合作的测度和分析[J]. 科学学研究, 2013, 31(8): 1136-1140. (Tan Xiao, Han Tao. Measure and Analysis of the International Research Collaboration in China [J]. Studies in Science of Science, 2013, 31(8): 1136-1140.)
[2] 王崇德. 论科学合作[J]. 科技管理研究, 1984(5): 28-31. (Wang Chongde. Study of the Scientific Collaboration [J]. Science and Technology Management Research, 1984(5): 28-31.)
[3] 陈春花, 杨映珊. 基于团队运作模式的科研管理研究[J]. 科技进步与对策, 2002, 19(4): 79-81. (Chen Chunhua, Yang Yingshan. Study of Science Research Management Based on Team-Working Model [J]. Science & Technology Progress and Policy, 2002, 19(4): 79-81.)
[4] Van Raan A F J. Statistical Properties of Bibliometric Indicators: Research Group Indicator Distributions and Correlations [J]. Journal of the American Society for Information Science and Technology, 2006, 57(3): 408-430.
[5] Newman M E J. Scientific Collaboration NetworksⅠ: Network Construction and Fundamental Results [J]. Physical Review E, 2001, 64(1): 016131.
[6] Newman M E J. Scientific Collaboration Networks Ⅱ: Shortest Paths, Weighted Networks, and Centrality [J]. Physical Review E, 2001, 64(1): 016132.
[7] Guan J, Wang J. Evaluation and Interpretation of Knowledge Production Efficiency [J]. Scientometrics, 2004, 59(1): 131-155.
[8] Acedo F J, Barroso C, Casanueva C, et al. Co-authorship in Management and Organizational Studies: An Empirical and Network Analysis [J]. Journal of Management Studies, 2006, 43(5): 957-983.
[9] Velden T, Haque A, Lagoze C. A New Approach to Analyzing Patterns of Collaboration in Co-authorship Networks: Mesoscopic Analysis and Interpretation [J]. Scientometrics, 2010, 85(1): 219-242.
[10] González-Alcaide G, Park J, Huamaní C, et al. Scientific Authorships and Collaboration Network Analysis on Chagas Disease: Papers Indexed in Pubmed (1940-2009) [J]. Journal of the Institute of Tropical Medicine in Sao Paulo, 2012, 54(4): 219-228.
[11] 李亮, 朱庆华. 社会网络分析方法在合著分析中的实证研究[J]. 情报科学, 2008, 26(4): 549-555. (Li Liang, Zhu Qinghua. An Empirical Study of Coauthorship Analysis Using Social Network Analysis [J]. Information Science, 2008, 26(4): 549-555.)
[12] 庞弘燊, 方曙, 杨波, 等. 科研团队合作紧密度的分析研究——以大连理工大学WISE实验室为例[J]. 图书情报工作, 2011, 55(4): 28-32, 99. (Pang Hongshen, Fang Shu, Yang Bo, et al. Research on the Close Degree of Cooperation in Research Team: An Empirical Study in WISE Laboratory in Dalian University of Technology [J]. Library and Information Service, 2011, 55(4): 28-32, 99.)
[13] 沈耕宇, 黄水清, 王东波. 以作者合作共现为源数据的科研团队发掘方法研究[J]. 现代图书情报技术, 2013(1): 57-62. (Shen Gengyu, Huang Shuiqing, Wang Dongbo. On the Scientific Research Teams Identification Method Taking Co-authorship of Collaboration as the Source Data [J]. New Technology of Library and Information Service, 2013(1): 57-62.)
[14] 李纲, 李春雅, 李翔. 基于社会网络分析的科研团队发现研究[J]. 图书情报工作, 2014, 58(7): 63-70, 82. (Li Gang, Li Chunya, Li Xiang. The Identification of Research Teams Based on Social Network Analysis [J]. Library and Information Service, 2014, 58(7): 63-70, 82.)
[15] 朱丽娟, 于建荣. 基于作者贡献的合著网络加权模式研究[J]. 图书馆杂志, 2011, 30(5): 16-20, 92. (Zhu Lijuan, Yu Jianrong. Research of Weight Measurement of Co-Author Networks Based on Author Contribution [J]. Library Journal, 2011, 30(5): 16-50, 92.)
[16] 邱均平, 伍超. 基于社会网络分析的国内计量学作者合作关系研究[J]. 图书情报知识, 2011(6): 12-17. (Qiu Junping, Wu Chao. Study on the Co-Author Relationship of Informetrics Based on Social Network Analysis [J]. Document, Information & Knowledge, 2011(6): 12-17.)
[17] 周玉芳. 基于社会网络分析的我国学科服务研究的主要学术合作群体和热点研究[J]. 现代情报, 2012, 32(3): 49-53, 75. (Zhou Yufang. The Main Co-authorships and Hotspots of Subject Service in China Based on the Social Network Analysis [J]. Journal of Modern Information, 2012, 32(3): 49-53, 75.)
[18] 李爱明. 社会网络视角下的国内数字图书馆领域作者合作关系研究[J]. 情报科学, 2013, 31(11): 57-63. (Li Aiming. Research on Author Collaboration Relationship in Domestic Digital Library Field Based on Social Network [J]. Information Science, 2013, 31(11): 57-63.)
[19] 彭希羡, 朱庆华, 沈超. 基于社会网络分析的社会计算领域的作者合作分析[J]. 情报杂志, 2013, 32(3): 93-100. (Peng Xixian, Zhu Qinghua, Shen Chao. The Collaborative Research of Social Computing Based on Social Network Analysis [J]. Journal of Intelligence, 2013, 32(3): 93-100.)
[20] Börner K, Dall'Asta L, Ke W, et al. Studying the Emerging Global Brain: Analyzing and Visualizing the Impact of Co-authorship Teams [J]. Complexity, 2005, 10(4): 57-67.
[21] 刘军. 社会网络分析导论[M]. 北京: 社会科学文献出版社, 2004. (Liu Jun. An Introduction to Social Network Analysis [M]. Beijing: Social Sciences Academic Press, 2004.)
[22] 林聚任. 社会网络分析: 理论、方法与应用[M]. 北京: 北京师范大学出版社, 2009. (Lin Juren. Social Network Analysis: Theory, Method and Applications [M]. Beijing: Beijing Normal University Press, 2009.)
[23] Wasserman S, Fause K. Social Network Analysis: Methods and Applications [M]. Cambridge: Cambridge University Press, 1994: 249.
[24] Borgatti S P, Everett M G. Models of Core/Periphery Structures [J]. Social Networks, 2000, 21(4): 375-395.

[1] 孙轶楠, 顾立平, 宋秀芳, 刘晶晶, 江娴. 学科数据知识库的政策调研与分析——以生命科学领域为例[J]. 现代图书情报技术, 2015, 31(12): 13-20.
[2] 付鸿鹄, 张智雄, 刘建华, 钱力, 王颖. 构建STKOS术语发布与共享服务平台[J]. 现代图书情报技术, 2015, 31(9): 76-81.
[3] 刘丹军, 付鸿鹄, 文奕, 胡正银, 杨宁, 向彬, 钱力, 刘春江. 科技知识组织体系版本管理系统设计与实践应用[J]. 现代图书情报技术, 2015, 31(4): 79-86.
[4] 唐祥彬, 陆伟, 张晓娟, 黄诗豪. 查询专指度特征分析与自动识别[J]. 现代图书情报技术, 2015, 31(2): 15-23.
[5] 刘怀亮, 杜坤, 秦春秀. 基于知网语义相似度的中文文本分类研究[J]. 现代图书情报技术, 2015, 31(2): 39-45.
[6] 胡正银, 方曙, 文奕, 张娴, 梁田. 面向TRIZ的专利自动分类研究[J]. 现代图书情报技术, 2015, 31(1): 66-74.
[7] 杨如意, 刘东苏. 基于大众标注的层次信息可视化算法研究[J]. 现代图书情报技术, 2014, 30(7): 71-76.
[8] 胡正银, 方曙. 专利文本技术挖掘研究进展综述[J]. 现代图书情报技术, 2014, 30(6): 62-70.
[9] 蔡晓珍, 徐健, 吴思竹. 面向情感分析的用户评论过滤模型研究[J]. 现代图书情报技术, 2014, 30(4): 58-64.
[10] 孟美任, 丁晟春. 在线中文商品评论可信度研究[J]. 现代图书情报技术, 2013, 29(9): 60-66.
[11] 汤亚芬. 先秦古汉语典籍中的人名自动识别研究[J]. 现代图书情报技术, 2013, 29(7/8): 63-68.
[12] 陈亮, 张志强, 尚玮姣. 专利引文分析方法研究进展[J]. 现代图书情报技术, 2013, 29(7/8): 75-81.
[13] 周群, 左文革, 陈仕吉. 基于百分位数的文献计量指标研究综述[J]. 现代图书情报技术, 2013, 29(7/8): 82-88.
[14] 何金晶, 窦永香. 社会化标注系统中的本体研究综述[J]. 现代图书情报技术, 2013, (6): 16-22.
[15] 屈鹏, 王惠临. 专利文本分类的基础问题研究[J]. 现代图书情报技术, 2013, 29(3): 38-44.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn