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【目的】探讨微博网络中基于用户行为的信息传播模型。【方法】对微博网络中用户的三种行为(发布、评论、转发)进行分析,并用敏感度和活跃度对用户获取信息和参与讨论的积极程度进行刻画。在此基础上,提出一个新的观点传播模型。在NetL ogo平台上进行计算机模拟,讨论模型参数对观点传播和演化的影响。【结果】信任阈值对用户的观点趋向具有影响。敏感度对网络中信息的传播具有促进作用。活跃度可以加快信息的传播,也对观点达到稳定的时间具有促进作用。【局限】目前观点动力学研究主要以理论分析和实验为主,因此本模型还需要扩大数据规模以验证理论模型的适应性。【结论】模型以微博用户行为为基础,能够描述微博网络中复杂的信息传播及观点更新现象。
【Objective】 To explore the information dissemination model based on user behavior in Weibo network. [Methods] The three kinds of behaviors (posting, commenting and forwarding) of users in Weibo network were analyzed, and the positive degree of users’ access to information and participation in discussions was described by sensitivity and activity. On this basis, a new model of opinion propagation is proposed. Computer simulation was performed on the Netlogog platform to discuss the impact of model parameters on the view propagation and evolution. 【Results】 The trust threshold has an impact on the user’s viewpoint tendency. Sensitivity to the spread of information in the network has a catalytic role. Activity can speed up the dissemination of information, but also to promote the stability of the point of view. 【Limitations】 At present, kinetic research is mainly based on theoretical analysis and experiments. Therefore, this model also needs to expand the data scale to verify the adaptability of the theoretical model. 【Conclusion】 Based on the micro-blog user behavior, the model can describe the complex information dissemination and viewpoint updating in Weibo network.