上海交通大学学报

上海交通大学学报（自然版）

• 管理科学 • 上一篇    下一篇

基于小世界网络模型的学术创新力演化分析

吕蔚1，潘常春2，杨根科2
  

  1. （1. 北京理工大学 管理与经济学院，北京 100081； 2.上海交通大学 自动化系，上海 200240）
  • 收稿日期:2010-03-25 修回日期:1900-01-01 出版日期:2010-12-31 发布日期:2010-12-31

Evolution Analysis on Improving Academic Creativity with Small World Organizational Structure in University

Lv Wei1，PAN Changchun2，YANG Genke2   

  1. (1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;
    2. Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2010-03-25 Revised:1900-01-01 Online:2010-12-31 Published:2010-12-31

摘要： 研究了基于小世界网络模型下的创新体系中学术创新力的演化问题.学术创新体系包含研究人员与管理体制两大要素，而学术创新力是组成创新体系各要素之间相互作用的结果.以组织科学中的NK影响矩阵，描述高校创新体系的小世界组织结构，其中N表示系统中个体的数目，K表示个体的邻域尺度.以自组织理论中极值动力学机制来模拟创新体系的演化.最后，通过计算机进行模拟演化.结果表明，对于给定的N和K，基于小世界网络的创新体系的极值动力学演化结果与网络的拓扑结构无关，而仅N给定时，系统创新力演化结果与个体的邻域尺度K紧密相关.

关键词: 影响矩阵, 极值动力学演化, 学术创新力, 高校

Abstract: This paper studied the dynamic evolution of academic creativity in university based on small world model. The academic creativity system comprises the researchers and the patterns in which they are organized. The interaction among those people yields the socalled academic creativity power. The design for a scientific and rational organization can enhance the academic creativity. The influence matrix theory based on NK model is adopted to describe the small world structure of the academic creativity system in university where N is the number of components in the system and K refers to the degree of interaction between components. The extremal dynamics in selforganized theory is used as the evolution mechanism. Finally, simulated evolution is conducted which demonstrate that the result of extreme dynamics evolution of the system is independent on the organizational topology structure if both N and K are fixed, while it is strongly dependent on K if only N is fixed.

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