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在基于社会网络结构的基础上,通过构建知识传导过程中的扩散模型,从而研究了社会关系层次度、外部政策变化、群体中人员构成、口头交流对知识扩散速度和程度的影响,并进行了仿真研究。研究结果表明:社会关系层次度越大,知识扩散速度和程度越大;外部政策与扩散速度和程度具有同方向关系,且是扩散行为产生突变的重要因素;当系统成员中存在领导者时,知识溢出传导路径将发生改变,扩散速度明显加快;当个体之间的口头交流存在负反馈作用时,它明显降低知识扩散速度和程度,且随着负反馈个体的增多,这种下降趋势逐渐增大。因此,在促进知识传播与应用的过程中,首先要鼓励网络中的个体与个体、组织与组织、个体与组织之间进行密切的交流与相互学习;其次是政府要适时推出有利于该项知识和技术传播的政策,政策是加速传播的催化剂;第三是要在社会网络中注重培育明星效应。
Based on the social network structure, this paper studies the influence of the social relations hierarchy, the change of external policies, the composition of the population and the oral communication on the speed and extent of knowledge diffusion by constructing a diffusion model in the process of knowledge transmission. simulation Research. The results show that: the greater the level of social relations, the greater the speed and extent of knowledge diffusion; the speed and extent of external policies have the same direction with the diffusion, and is an important factor in the proliferation of behavior mutation; when there are leaders in the system members, The path of knowledge spill will change and the speed of diffusion will be accelerated obviously. When there is a negative feedback effect on verbal communication between individuals, it will obviously reduce the speed and extent of knowledge diffusion. With the increase of negative feedback individuals, the declining trend gradually increases Big. Therefore, in promoting knowledge dissemination and application process, we must first encourage the network of individuals and individuals, organizations and organizations, individuals and organizations to conduct close exchanges and mutual learning; secondly, the government should launch in time conducive to the knowledge And policies and policies on technology diffusion are catalysts for accelerating communication. The third is to focus on nurturing the star effect in social networks.