一个科研合作网的双粒子图自适应演化模型  

A self-adaptive bi-particle graph model for scientific collaboration

作　　者：何阅[1] 张培培[1] 许田[1] 姜玉梅[1] 何大韧[1] 

机构地区：[1]扬州大学物理科学与技术学院,扬州225002

出　　处：《物理学报》2004年第6期1710-1715,共6页Acta Physica Sinica

基　　金：国家自然科学基金 (批准号 :70 3 710 71)资助的课题~~

摘　　要：建议一个描述研究项目负责人与研究助手之间的科研合作网络的双粒子图自适应发展模型 .模型考虑每个项目负责人或研究助手作为作用者采取的选择、决策、竞争以及由此导致的自身和整个网络的进化 .对模型的各种不同投影单粒子图进行的数值模拟所得结果都与美国的数学和神经科学工作者在 1 991 - 1 998年间合作的统计结果很好地符合 ,说明自适应复杂网络可以自组织向小世界、无标度的结构 .This paper suggests a self_adaptive bi_particle graph model, which describes the collaboration network between the principal investigators and their assistants. The model considers the choices, strategies, competitions, and the induced evolutions of the principal investigators and their assistants as actors as well as the evolution of the whole network. The simulation results of all the different single_particle graphs obtained by different methods of projection show a good agreement with the statistical data of the collaboration between American mathematicians and neuroscientists during 1991 and 1998 That shows a self adaptive complex network can self organize to a small world and scale free structure. This article also discusses the similarities and differences of the simulation results of the different projected single particle graphs of the bi particle graph.

关 键 词：复杂网络 复杂自适应系统 科研合作网 双粒子图 数值模拟 

分 类 号：N941.4[自然科学总论—系统科学]