收稿日期: 2015-05-20
修回日期: 2015-06-06
网络出版日期: 2015-06-20
基金资助
本文系山东省社会科学规划项目“基于异质网络的学科科研合作行为研究”(项目编号:14CTQJ01)研究成果之一。
Measurement and Identification of Author Potential Collaboration Space Based on 2-mode Heterogeneous Network: Taking Library and Information Science for Example
Received date: 2015-05-20
Revised date: 2015-06-06
Online published: 2015-06-20
[目的/意义] 鉴于异质网络能够揭示数据的多重关系,引入合作网络,构建2-模异质网络,并基于此异质网络,进行作者潜在合作空间的测度与识别,增加作者间合作机会,促进学科知识的交流与融合提供参考。[方法/过程] 以2004-2013年间的图书情报学核心期刊论文为研究对象,定义作者-作者-关键词2模异质网络,挖掘网络中的多重关系;定义潜在合作空间的相关概念及测度公式,并运用共现分析、耦合分析及编译VBA, 程序,对2-模异质网络的作者潜在合作空间进行测度与识别。[结果/结论] 发现图书情报学领域的47位核心潜在合作者;某一研究主题的作者潜在合作空间相同或相近,重叠部分形成了该研究领域的潜在合作团队,这一发现为研究人员寻求潜在合作者提供了便利条件。
李长玲 , 魏绪秋 , 冯志刚 , 崔斌 . 基于2-模异质网络的作者潜在合作空间测度与识别——以图书情报学为例[J]. 图书情报工作, 2015 , 59(12) : 93 -99 . DOI: 10.13266/j.issn.0252-3116.2015.12.014
[Purpose/significance] Heterogeneous network can reflect the multi-relationship of data. Based on it, this paper introduces research topics to collaboration network, and forms 2-mode heterogeneous network. It measures and identifies the author potential collaboration space to promote the possibility of collaboration and the exchange and integration of disciplines.[Method/process] This paper regards core-journal papers of library and information science from 2004 to 2013 as research objects, defines the 2-mode heterogeneous network of author-author-keywords, and mines their multi-relationship. It defines the related concepts and measure formula of potential collaboration space, and measures and identifies author potential space of 2-mode heterogeneous network with co-current analysis, coupling analysis and VBA.[Result/conclusion] It finds 47 core potential collaborators in library and information science. And it finds that authors potential collaboration space of one research topic is same or similar, and overlapping part forms a potential collaboration team in this research area, which may help researchers find potential collaborators.
[1] Newman M E J. The structure of scientific collaboration networks[J]. Working Papers,2000, 98(2): 404-409.
[2] Moran A L, Favela J, Enriquez A M M, et al. On the design of potential collaboration spaces[J]. International Journal of Computer Applications in Technology, 2004, 19(3): 184-194.
[3] Bazzan A C, Argenta V F. Network of collaboration among PC members of Brazilian computer science conferences[J]. Journal of The Brazilian Computer Society, 2011, 17(2): 133-139.
[4] Mêgnigbêto E. International collaboration in scientific publishing: The case of West Africa (2001–2010)[J]. Scientometrics,2013, 96(3): 761-783.
[5] Barth M, Haustein S, Scheidt B. The life sciences in German–Chinese cooperation: An institutional-level co-publication analysis[J]. Scientometrics, 2014, 98(1): 99-117.
[6] Ferligoj A, Kronegger L, Mali F, et al. Scientific collaboration dynamics in a national scientific system[J]. Scientometrics,2015,104(3):985-1012.
[7] 魏瑞斌. 我国图书馆学情报学的科研合作现状研究——以CSSCI 1998-2004年数据为例[J]. 图书情报工作,2006,50(1): 41-43.
[8] 刘凤朝,徐茜. 中国科技政策主体合作网络演化研究[J]. 科学学研究,2012(2): 241-248.
[9] 陈卫静,郑颖. 基于作者关键词耦合的潜在合作关系挖掘[J]. 情报杂志,2013(5): 127-131.
[10] 邱均平,刘国徽. 基于社会网络和关键词分析的作者合作研究——以国内知识管理领域为例[J]. 情报科学,2014(6):3-7,13.
[11] 吕鹏辉,刘盛博. 学科知识网络实证研究(Ⅳ)合作网络的结构与特征分析[J]. 情报学报,2014, 33(4): 367-374.
[12] 柴玥,刘趁,王贤文. 我国高校科研合作网络的构建与特征分析——基于“211”高校的数据[J]. 图书情报工作,2015,59(2):82-88.
[13] 魏绪秋,李长玲. 基于作者-年份-关键词网络的科研合作行为研究——以图书情报学为例[J]. 情报杂志,2014(11): 117-123.
[14] 邱均平,周毅. 基于作者共被引的馆藏资源深度聚合模式与服务探析——以 CSSCI 中图书情报领域本体研究为例[J]. 图书情报工作,2014,58(7): 19-24.
[15] 赵蓉英,谭洁. 基于共词分析的馆藏资源语义聚合研究[J]. 情报资料工作,2014(4): 34-38.
[16] 邱均平. 信息计量学[M]. 武汉: 武汉大学出版社, 2007.
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