一个中国科学家合作网的实证分析  

Empirical Analysis of a China Scientists Collaboration Network

作　　者：徐玲[1] 胡海波[1] 汪小帆[1] 

机构地区：[1]上海交通大学自动化系复杂网络与控制实验室,上海200240

出　　处：《复杂系统与复杂性科学》2009年第1期20-28,共9页Complex Systems and Complexity Science

基　　金：国家自然基金重点项目(70431002);国家自然基金(60674045;60731160629);上海市优秀学科带头人计划(07XD14017)

摘　　要：研究了由《科学通报》过去20年间发表文章的作者所构建的科学家合作网络。按照统计学方法和基于复杂网络理论的实证分析表明,科学家产量满足幂律分布,而合作规模分布则是指数衰减的。合作网中存在一个明显的最大连通子图,该子图具有高聚类和小世界特性,并呈现社团结构和等级结构。网络的度分布介于指数与幂律之间,近似服从对数正态分布,社团规模分布亦显示出长尾特性。此外,还应用3种不同的指标研究了Hub节点的影响力。This paper studies the scientific collaboration network （SCN） based on the papers published on Chinese Science Bulletin during the past 20 years （1988 -2007）. According to the statistics and complexity theory, we find that, the productivity of scientists follows a power-law distribution and the distribution of the size of collaboration decays in an exponential way. There is a distinct maximal connected subgraph in the SCN and the subgraph possesses notable clustering and small-world properties, and community and hierarchical structures. The degree distribution of the SCN is between exponential and power law, and approximately follows lognormal distribution; the distribution of the size of community also shows long tail property. Moreover, we apply three indexes to study the impact of hub nodes.

关 键 词：科学家合作网 复杂网络 拓扑结构 

分 类 号：N941[自然科学总论—系统科学] TP311.13[自动化与计算机技术—计算机软件与理论]