标题：Data Mining and Analysis of the Propagation Law of Hot Topics in Micro-blog
作者：Kong Ying; Pan Jingchang; Wu Minglei
作者机构：[Kong Ying; Pan Jingchang; Wu Minglei] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
会议名称：2nd International Conference on Big Data Research (ICBDR)
会议日期：OCT 27-29, 2018
来源：PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA RESEARCH (ICBDR 2018)
关键词：micro-blog; hot topics; news dissemination; public opinion analysis
摘要：(I)n this paper, the research on the rules of micro-blog hot topics and the contrast of various hot topics has been studied, and some achievements have been obtained. The main work of this paper is as follows: the calculation formula of accumulation heat of hot topic is put forward, and under this standard, the curve of the data collected by the network crawler is drawn and fitted, and the propagation law of the two types of topics is excavated and compared. The experimental results show that the heat laws of social hot topics are distributed in 3 categories: Quadratic-Logarithmic - Logarithmic. Quadratic- Inverse - Inverse and Quadratic- Cubic-S, and the entertainment category is quite different. The top 3 laws are Cubic-Cubic-Cubic. Logarithmic - Cubic-S and Cubic -Cubic-Logarithmic.