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

Donghui Li, Yuqing Zhang, Xin Chen, Long Cao
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引用次数: 9

Abstract

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.
基于SIR模型的新浪微博热点话题传播规律——仿真研究
新浪微博作为最受欢迎和发展最快的社交网络之一,逐渐成为热点话题出现、传播和爆发的场所。为了探索和发现热点话题在微博平台上的传播规律,本文提出了一种基于著名的流行模型SIR来理解和解释热点话题传播动态的新方法,该方法考虑了新浪微博的结构信息和传播特征。以MH370航班失联事件为例,对改进后的基于SIR的话题传播模型进行了测试。实验结果表明,仿真结果与历史数据拟合程度较高,表明该模型对于研究新浪微博热点话题传播规律具有较高的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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