期刊文献+

合著关系网络的加权模式研究 被引量:8

The Weight Measurement of Co-Author Networks
原文传递
导出
摘要 对根据合著次数计算网络边权,根据合著次数及合著强度计算网络边权,根据合著次数、合著强度和合著效果计算网络边权以及广义的科研合作网络边权计算方法这四种加权模式作简要介绍,分析各自的利弊,发现这些方法均没有对同一文献中不同作者之间的合著强度予以区分。针对这一不足之处,提出将作者贡献、作者之间人际关系、作者的学科及机构分属等因素引入到边权计算中的改进建议。 After introducing four different measures of calculating the connection weight, and analyzing the strength and weakness of them, this paper points that these four measures have the same defect. In order to improve the defect, factors such as the contribution of authors, the relationships among the authors, the discipline and institution the authors belonging to, could be introduced into the measurement of connection weight.
出处 《图书情报工作》 CSSCI 北大核心 2010年第12期69-73,共5页 Library and Information Service
关键词 合著网络分析 含权合著网络 加权模式 co-author network analysis weighted co-author networks measurement of weight
  • 相关文献

参考文献7

  • 1Newman M E J. Scientific collaboration networks I Network construction and fundamental results. Phys Rev E, 2001,64 ( 1 ) : 016131.
  • 2Newman M E J. Scientific collaboration networks II Shortest paths, weighted networks, and centrality. Phys Rev E, 2001,64 ( 1 ) : 016132.
  • 3Otte E, Rousseau R. Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 2002 (28) : 443 - 455.
  • 4王福生,石秀春,杨洪勇.基于作者簇的科研合作网络模型[J].情报理论与实践,2009,32(1):35-37. 被引量:10
  • 5刘蓓,袁毅,BOUTIN Eric.社会网络分析法在论文合作网中的应用研究[J].情报学报,2008,27(3):407-417. 被引量:94
  • 6Borner K, Dallasta L, Ke W M, et al. Studying the emerging global brain : Analyzing and visualizing the impact of co-authorship teams. Complexity,2005,10 (4) :57 - 67.
  • 7Li M, Fan Y, Chen J, et al. Weighted networks of scientific communication : The measurement and topological role of weight. Physica A,2005,350(2 -4) :643 -656.

二级参考文献18

  • 1张秀梅,吴巍.科研合作网络的可视化及其在文献检索服务中的应用[J].情报学报,2006,25(1):9-15. 被引量:39
  • 2李幼平,陈谋松.共享数字文化的播存技术[J].数字图书馆论坛,2007(1):10-14. 被引量:5
  • 3ERDOS P, RENYI A. On the evolution of random graphs [ J ]. Publ. Math. Inst. Hung. Acad. Sci., 1960 (5): 17-60.
  • 4WATTS D, STROGATZ S. Collective dynamics of " small world" networks [J]. Nature, 1998, 393 (4) : 440-442.
  • 5BARABASI A, ALBERT R. Emergence of scaling in random networks [J]. Science, 1999, 286: 509-512.
  • 6ALBERT R, BARABASI A. Statistical mechanics of complex networks [ J]. Rev. Modem Phys. , 2002, 74 (1) : 47-97.
  • 7NEWMAN M J. The structure and function of complex network [J]. SIAM Review, 2003, 45 (2) : 167-256.
  • 8BOCCALETTI S, LATORA V, MORENO Y, et al. Complex networks: structure and dynamics [ J ]. Physics Reports, 2006, 424 (4-5) : 175-308.
  • 9MILO R, et al. Network motifs: simple building blocks of complex networks [J]. Science, 2002, 298: 824-827.
  • 10NEWMAN M. Who is the best connected scientist? A study of scientific coauthorship networks [ J]. Lecture Notes in Physics, 2004, 650: 337-370.

共引文献101

同被引文献122

引证文献8

二级引证文献86

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部