基于SD的学术社交网络科研协同行为演化博弈分析

Evolutionary Game Analysis of Scientific Research Collaborative Behavior in Academic Social Networks Using System Dynamics

[目的/意义]学术社交网络平台为科研人员协同创新行为提供了可能。但科研人员协同参与和平台协同功能供给之间存在复杂交互关系,厘清二者间博弈关系,有利于改进学术服务平台和提升科研人员协作效率。[方法/过程]基于有限理性人假设,构建演化博弈模型,通过复制动态方程求解博弈双方不同策略下的演化路径,并利用系统动力学对策略选择进行稳定性和敏感性分析。[结果/结论]研究结果表明:学术社交网络科研协同行为演化博弈系统有(协同,支持)和(不协同,不支持)两条演化稳定策略;博弈双方收益、额外收益、扩散价值会正向影响系统演化为(协同,支持)策略,博弈双方的成本与损失会反向影响系统演化为(协同,支持)策略。因此,平台可以优化注册机制、完善群组(Group)等功能,促进科研人员参与协同行为。

[Purpose/Significance]Academic social network platform provides the possibility for collaborative innovation behavior of researchers.However,there is a complex interaction between the collaborative participation of researchers and the collaborative function supply of the platform.To clarify the game relationship between the two is beneficial to improve the academic service platform and enhance the collaborative efficiency of researchers.[Method/Process]Based on the hypothesis of bounded rational man,an evolutionary game model was constructed,and the evolutionary paths of different strategies were solved by replicating dynamic equations.The stability and sensitivity of strategy selection were analyzed by using system dynamics.[Result/Conclusion]The results show that there are two evolutionarily stable strategies in the evolutionary game system of collaborative behavior in academic social networks(collaborative and supportive)and(un-collaborative and unsupportive).The benefit,extra benefit and diffusion value of both sides of the game will positively influence the system to evolve into(collaborative and supportive)strategy,while the cost and loss of both sides of the game will negatively influence the system to evolve into(collaborative and supportive)strategy.Therefore,the platform can optimize the registration mechanism,improve the function of groups,and promote the participation and collaboration of researchers.