社交网络突发事件传播速率模型研究

Research on the Emergency Events Propagation Rate Model Based on Social Network

针对传统信息传播速率模型中对各因素描述不准确且仿真结果误差偏高的问题,该文提出了一种PPS信息传播速率计算模型。该模型选取Digg社交平台的数据集进行分析,拟合大量数据改进了传统模型中固有增长率及用户承载力的计算方法,并根据新闻投票量对新闻划分范围得到PPS模型,最后针对不同投票范围的新闻信息进行了仿真分析。仿真结果表明,在此平台上的新闻均经历增长期而到达稳定期,而通过传播速率分析图得出新闻在进入头版后增长速率最快。结合传统模型及算法进行准确率分析得到,该文提出的PPS模型在准确率上有了较大提升,证明提出的模型在分析社交平台的信息传播速率合理、有效。

According to the inaccurate description of various factors in the traditional information propagation rate model and the high error of simulation results, an information propagation rate model considering propagation speed (PPS) is proposed. First, the model selects the Digg social platform and analyzes the data set;Secondly, a large amount of data is used to improve the calculation method of intrinsic growth rate and user carrying capacity of the traditional model, then the PPS model is obtained according to the different news voting quantity, and finally the simulation analysis is carried out for different coverage stories. The simulation results show that the news on this platform has experienced the growth period and reached the stable period, and the speed of the news is the fastest after the front page is shown. Based on the traditional model and the algorithm, the proposed PPS model has a great improvement in accuracy, which proves that the model is reasonable and effective in analyzing the information transmission rate of the social platform.