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Propagation regularity of hot topics in Sina Weibo based on SIR model — A simulation research

机译:基于SIR模型的新浪微博在新浪微博的传播规律 - 模拟研究

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Sina Weibo, as one of the most popular and fast growing social network, has gradually become the field where hot topics appear, propagate, and outbreak. In order to explore and find out the propagating regularity of hot topics on the platform of micro-blog, a novel approach based on a well-known epidemic model called SIR is proposed in this paper to understand and explain hot topics spreading dynamics, which takes the structure information and propagation characteristics of Sina Weibo into consideration. The event of flight MH370 vanished is being used to test the modified topic transmission model based on SIR. The experimental results show that the fitting degree between simulation results and the historical data is high and indicates that there is a high feasibility of this model to research on the propagating regularity of hot topics spreading on Sina Weibo.
机译:新浪微博是最受欢迎和快速增长的社交网络之一,逐渐成为热门话题出现,传播和爆发的领域。 为了探索和找出在微博的平台上的热门话题的传播规律,在本文中提出了一种基于称为SIR的着名疫情模型的新方法,以了解和解释热门话题传播动态 新浪微博考虑的结构信息与传播特性。 航班MH370消失的事件用于测试基于SIR的修改的主题传输模型。 实验结果表明,仿真结果与历史数据之间的拟合程度高,表明该模型对新浪微博蔓延的热门话题的传播规律研究有很大的可行性。

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