收稿日期: 2014-06-16
修回日期: 2014-08-11
网络出版日期: 2014-09-20
基金资助
本文系2013年国家社会科学基金项目“科研领域合作关系的识别与关联强度分析”（项目编号：13CTQ024）研究成果之一。
Analysis Method and Empirical Research on Multi-data-sources Scientific Collaboration Network
Received date: 2014-06-16
Revised date: 2014-08-11
Online published: 2014-09-20
王飒, 吕娜 . 多数据源科研合作网络分析方法及实证研究[J]. 图书情报工作, 2014 , 58(18) : 89 -94,109 . DOI: 10.13266/j.issn.0252-3116.2014.18.013
The majority published achievements in scientific collaboration network are based on the single source of one literature database, and cannot response the status of scientific collaboration comprehensively and completely. This paper presents a new analysis method based on multi-data-sources through node weight fusion and edge weight fusion in the way of author contribution, collaboration times, collaboration strength and collaboration effect. The empirical research shows that the proposed method can response the status of scientific collaboration more comprehensively and completely than based on single source.
[1] Glänzel W, Schubert A. Analysing scientific networks through co-authorship[M]//Moed H F et al. Handbook of Quantitative Science and Technology Research. Netherlands: Kluwer Academic Publishers, 2004: 257-276.
[2] Newman M E J. Scientific collaboration networks I. Network construction and fundamental results [J]. Physical Review E, 2001, 64(1): 016131.
[3] Newman M E J.Scientific collaboration networks II. Shortest paths, weighted networks, and centrality [J]. Physical Review E, 2001, 64(1): 016132.
[4] Hou Haiyan, Kretschmer H, Liu Zeyuan. The structure of scientific collaboration networks in Scientometrics[J]. Scientometrics, 2008, 75(2): 189-202.
[5] Huamaní C, Mayta-Tristán P. Peruvian scientific production in medicine and collaboration networks, analysis of the Science Citation Index 2000-2009[J]. Revista Peruana de Medicina Experimentaly Salud Publica, 2010, 27(3): 315-325.
[6] 刘凤朝,姜滨滨.中国区域科研合作网络结构对绩效作用效果分析——以燃料电池领域为例[J].科学学与科学技术管理, 2012(1): 109-115.
[7] 吕淑仪.我国图情学科研合作特征分析[J].科技管理研究, 2008(7): 83-85.
[8] 肖连杰,吴江宁,宣照国.科研合作网中节点重要性评价方法及实证研究[J].科学学与科学技术管理, 2010(6): 12-15.
[9] 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): 41-43,48.
[10] 金梅,熊爱民.从CSSCI合著论文看我省人文社科研究的科研合作[J].贵州教育学院学报, 2009(7): 79-82.
[11] 韩毅,张克菊,金碧辉. 引文网络分析的方法整合研究进展[J]. 中国图书馆学报,2010(4):83-89.
[12] Synnestvedt M B. Data preparation for biomedical knowledge domain visualization: A probabilistic record linkage and information fusion approach to citation data[D]. Philadelphia: Drexel University,2007.
[13] 张蓉婷. 基于论文产出的农业科研机构学术影响力评价[D].北京:中国农业科学院,2012.
[14] 周志峰. 多层面跨数据源h指数实证研究[D].杭州:浙江大学,2010.
[15] Janssens F, Leta J, Glanzel W, et al. Towards mapping library and information science [J]. Information Processing and Management, 2006,42(6):1614-1642.
[16] 樊玉敬.合著论文作者的名誉分配[J].情报杂志,1997(1):37-38,49.
[17] Borner K, Dallasta L, Ke W M, et al.Studying the emerging global brain:Analyzing and visualizing the impact of co-authorship teams[J]. Complexity,2005,10( 4) : 57-67.
[18] 张明.不同名次合作者(单位)对总体贡献率的研究[J].福州总医院学报,1999(2): 44-45,40.
/
| 〈 |
|
〉 |
