基于SEIRR模型的知识传播与共享影响因素分析

Yiwen Zhou
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引用次数: 3

摘要

研究影响知识共享和知识传播的关键因素,有助于促进知识创新。基于从环境中获取知识的概率、学习意愿、学习能力和遗忘知识的速度,提出了知识传播模型SEIRR(易感、暴露、感染、有知识可恢复和无知识可恢复)。通过仿真网络分析,揭示了上述四个因素对知识传播和共享的影响。研究发现,提高从环境中获取知识的概率、学习意愿和学习能力有助于提高知识传播和知识共享的效果。降低遗忘知识的速度也是有效的。因此,通过建立开放的图书馆和数据库,促进群体的学习意愿,培养群体的学习能力,加强群体对知识的应用,有助于促进知识共享。
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Analysis of influencing factors of knowledge dissemination and sharing based on the SEIRR model

To study the key factors affecting knowledge sharing and knowledge dissemination is helpful to promote knowledge innovation. Based on the probability of acquiring knowledge from the environment, learning willingness, learning ability, and the speed of forgetting knowledge, a knowledge dissemination model SEIRR(Susceptible, Exposed, Infectious, Recovered with the knowledge and Recovered without the knowledge) is proposed. Through the simulation network analysis, the influence of the above four factors on knowledge transmission and sharing is revealed. It is found that improving the probability of acquiring knowledge from the environment, learning willingness, and learning ability can help improve the effect of knowledge dissemination and knowledge sharing. Reducing the speed of forgetting knowledge is also effective. Thus, it is helpful to improve knowledge sharing by establishing open libraries and databases, promoting groups' learning willingness, cultivating groups' learning ability, and strengthening groups' application of knowledge.

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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
自引率
0.00%
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0
审稿时长
55 days
期刊最新文献
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