基于SIR的众包社区知识传播模型研究

Study on Knowledge Propagation Model in Crowdsourcing Community Model based on SIR

基于复杂网络传播动力学理论,探究众包社区知识传播特点和规律,通过采集Ideastorm众包社区数据构建知识网络。在SIR模型的基础上,根据众包特点,提出一种新型知识传播模型,将模型运用到Ideastorm众包网络上。通过仿真发现,初始传播结点度、个体吸收与创新能力和众包任务持续时间等因素对知识传播具有显著影响。

Based on the theory of propagation dynamics on complex networks, this paper explores the characteristics and law of knowledge propagation in crowdsourcing community and a knowledge network is built upon the collection of ideast- orm web data. According to the characteristics of crowdsourcing, this paper proposes a new knowledge propagation model on the basis of SIR model, and applies the new model into ideastorm network. The simulation demonstrates that the de- grees of initial propagation nodes, individual absorption and innovation ability, and the duration of the crowdsourcing mis- sion impose a significant effect on the knowledge propagation.