科研合作网络的社团结构和中心节点研究  

Research on the Community Structure and Hub Node of a Scientific Collaboration Network

作　　者：张素娟[1] 甘若迅[2] 樊锁海[2] 刘鹏[2] 

机构地区：[1]暨南大学科技处,广东广州510632 [2]暨南大学信息科学技术学院,广东广州510632

出　　处：《武汉纺织大学学报》2012年第3期81-85,共5页Journal of Wuhan Textile University

基　　金：广东省自然科学基金(10151063201000005);国家自然科学基金(10671076;11071089);中央高校基本科研业务费专项资金(21609602)

摘　　要：对发表于《ISI-SCIE(Science Citation Index Expanded)》上的PHARMACOLOGY&PHARMACY学科的论文作者合作研究形成的一个复杂网络进行了研究。分析表明该合作网络共有40个子网络,其最大连通子网络节点的度服从幂律分布且有厚尾趋势,具有较小的平均路径长度,较大的聚类系数,存在少数关键节点,具有典型的小世界性和无标度性。并通过GN算法分析和挖掘了该最大连通子网络的社团结构,用度值、介数值和PAGERANK值等指标评价了网络的中心节点,揭示了合作网络中合作水平较高的科研团队和具有影响力的科学家。Study on the author collaboration complex network of journals ＂ISI-SCIE（Science Citation Index Expanded）＂ in PHARMACOLOGY ＆ PHARMACY category,It is found that the collaboration networks have 40 sub-networks,and the node degrees of the maximal connected sub-networks obey the power-law distribution.And this collaboration networks has a smaller characteristic path length and a bigger clustering coefficient.And it also has some key nodes and typical characteristic of Scale-Free and Small-World.Moreover,through the analysis and mine of community structure by the GN algorithm,and evaluating the Hub nodes by degree,betweenness and Pagerank value,it is found that,this collaboration networks have some high cooperation level of scientific research groups and some influential scientists.

关 键 词：复杂网络 无标度性 小世界性 社团结构 中心节点 

分 类 号：O157.5[理学—数学] TP391[理学—基础数学]