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Data Mining and Analysis of the Propagation Law of Hot Topics in Micro-blog

Published: 27 October 2018 Publication History

Abstract

In 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.

References

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Ji Xuemei. Research on User Sentiment Mining and Propagation Of Chinese Micro-Blog in Specific Event Scenarios. Nankai University, 2014.
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Chen Jianmei, Lin Hongfei. The Construction of The Knowledge Base of Chinese Emotion Common Sense. Journal of Information, 2009, 28(4), 492--498
[3]
Dong Guanghuan. A Study on The Influence of Positive Emotion and Negative Emotion Priming On Impulse Control. Liaoning Normal University, 2008.
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Hu Chen, Li Danchao. A Brief Discussion on The Influence of Micro-Blog on The Setting of The Traditional Media Agenda. The News World, 2010(9), 153--154.
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Zhao Longwen, Gong Sutao, Chen Mingyan. Research on Micro-Blog Topic Hotness Prediction Based on Participation of Opinion Leaders. Information Magazine, 2013(12), 42--46.
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Luo Jie. SVM Based Micro-Blog Topic Tracking Method and Its Application. Beijing Institute of Technology, 2015.
[7]
Zhang Yang, Lu Rong, Yang Qing. Prediction of Forwarding Behavior in Microblog. Chinese Journal of Information, 2012, 26(4), 109--114.
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Tian Ye. Research on Event Trend Analysis and Prediction Based on Micro-Blog Platform. WuHan University, 2012.
[9]
Xiong XiaoBing, Zhou Gang, Huang Yongzhong. Research on Sina Micro-Blog Topic Popularity Prediction Technology. Journal of the University of Information Engineering, 2012, 13(4), 496--502.

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  1. Data Mining and Analysis of the Propagation Law of Hot Topics in Micro-blog

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    cover image ACM Other conferences
    ICBDR '18: Proceedings of the 2nd International Conference on Big Data Research
    October 2018
    221 pages
    ISBN:9781450364768
    DOI:10.1145/3291801
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Shandong Univ.: Shandong University
    • University of Queensland: University of Queensland
    • Dalian Maritime University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 October 2018

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    Author Tags

    1. hot topics
    2. micro-blog
    3. news dissemination
    4. public opinion analysis

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