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Structure and collaboration relationship analysis in a scientific collaboration network
  • ISSN号：1001-6538
  • 期刊名称：Chinese Science Bulletin
  • 时间：0
  • 页码：3702-3706
  • 分类：TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] O414.2[理学—理论物理;理学—物理]
  • 作者机构：[1]LUNAM Universite, ISMANS, 44, Ave. Bartholdi, 72000 Le Mans, France, [2]Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, China, [3]LUNAM Universite, Universite du Maine, LPEC, UMR CNRS 6087, 72085 Le Mans, France
  • 相关基金：supported by the National Natural Science Foundation of China （10647125, 10635020, 10975057 and 10975062）; the Program of Introducing Talents of Discipline to Universities （B08033）; the PHC CAI YUAN PEI Program （LIU JIN OU [2010] No. 6050）
  • 相关项目：基于复杂网络的传播系统中临界性与适应性研究
作者： Hui Zi|Cai Xu|GRENECHE Jean-Marc|WANG Qiuping Alexandre|
关键词： 合作网络, 社会结构, 科学家, 协作关系, 合作关系, 计算几何, 统计特性, 参数调用, scientific collaboration network, phase transition, weighted network, collaboration relationship parameter
中文摘要：

我们在计算几何学构造科学合作的一个加权的网络并且学习网络的统计性质。另外，我们介绍叫合作关系参数测量在科学家之间的合作的一个参数。二个科学家的合作关系参数在节点之间的连接重量取决于不仅，而且在网络结构上。网络结构的稳定性也以不同的边移动策略被学习。根据参数，我们发现社区结构在这类网络存在。

英文摘要：

We construct a weighted network of scientific collaboration in computational geometry and study the statistical properties of the network. In addition, we introduce a parameter called the collaboration relationship parameter to measure the collaboration between scientists. The collaboration relationship parameter of two scientists depends not only on the connection weights between the nodes, but also on the network’s structure. The stability of the network’s structure in terms of different edge removal strategies is also studied. According to the parameter, we find that a community structure exists in this type of network.

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