基于微博的UVFR谣言传播模型研究及仿真

针对微博网络谣言的传播机制进行了研究，根据其传播特征将微博谣言的受众用户划分为未知者、浏览者、转发者、评论者四类，从而构建一个UVFR网络谣言传播模型。利用该模型分析主要参数对传播过程的影响，提出相应的控制策略。模型的主要特点是重新定义了谣言传播规则和传播动力学方程，使得传播过程的描述更加符合微博用户行为。使用多主体仿真平台在无标度网络结构下对谣言的传播行为进行了仿真研究。通过将仿真结果与新浪微博真实数据进行比较，证实了所得结论的合理性和有效性。仿真实验结果表明，初始传播节点越多，谣言传播的速度越快；转发概率越大，谣言传播的范围越广。

Research and simulation of uvfr rumor propagation model based on Microblog

This paper studied the dissemination mechanism of rumors on microblog networks. According to its propagation characteristics, the paper divided the audience users of microblog rumors into four categories: unknown, viewer, forwarder and reviewer, thus constructing a network rumor propagation model of UVFR. It used the model to analyze the influence of the main parameters on the propagation process, and proposed the corresponding control strategies. The main feature of the model redefined the rules of rumor propagation and the propagation dynamics equation, which made the propagation formula more in line with the real use habits of micro-blog users. The paper used a multi-agent simulation platform to simulate the spread of rumors in scale-free network structure, and compared the simulation results with the real data of Sina Weibo to verify the ratio-nality and validity of the conclusions. The simulation results show that the more initial propagation nodes, the faster the rumor spread, and the greater the forwarding probability, the wider range the rumor spread.