基于学术社交网络的科研团队合作行为三方演化博弈与仿真分析
Tripartite evolutionary game and simulation analysis cooperative behavior of scientific research teams based on academic social network
吴瑞 1张耀坤 2焦磊3
作者信息
- 1. 华南理工大学公共管理学院,广东 广州 510641
- 2. 南昌航空大学经济管理学院,江西 南昌 330063
- 3. 华南理工大学高等教育研究所,广东 广州 510641
- 折叠
摘要
学术社交网络平台是开展科研合作的重要手段.构建学术社交网络平台、科研团队负责人、科研人员三方演化博弈模型,刻画博弈演化路径和参数敏感性分析.研究表明:初始策略、主体收益和成本及平台奖惩措施是影响系统演化的重要因素.据此,提出优化学术社交网络科研团队合作行为的策略,推动科研合作与创新.
Abstract
Academic social network platforms are important means to carry out scientific research cooperation.This paper constructs a tripartite evolutionary game model of academic social network platforms,research team leader and researchers,describes the evolutionary path of the game and analyzes the sensitivity of parameters.The results show that initial strategy,benefits and costs of agents and platform rewards and punishments are important factors affecting system evolution.Finally,strategies to optimize the cooperative behavior of academic social network scientific research teams are proposed to promote scientific research cooperation and innovation.
关键词
学术社交网络/科研团队/学术合作/三方博弈Key words
academic social network/scientific research team/academic cooperation/tripartite game引用本文复制引用
基金项目
国家社会科学基金项目(BIA230171)
出版年
2024
NETL
NSTL
万方数据