RETRACTED ARTICLE: Capture-removal model sampling estimation based on big data
Capture-removal methods were often used to estimate the unknown population size and variance, which are applied in Biology, Ecology and Sociology. In this study, the improved capture removal model was adapted to explore the propagation scale as well as the involved population size of network information dissemination, and then, empirical analysis was carried out using the dissemination of public opinion on ‘8\(\cdot \)12’ Tianjin port explosion as an example. Our results indicate that the proposed method can effectively estimate the range of the spread of the hot spots in social networks. This conclusion might be that social network has gradually become an important path and mode of communication in public discourse, and provide evidence for sampling estimation in big data analysis.
KeywordsSocial network Capture-removal model Sampling estimation
The research was supported by Social Development and Social Risk Control Research Center) (No. SA16A03), Soft Science Research Program of Sichuan Province, China (No. 2017ZR0207) and the Fundamental Research Funds for the Central Universities (No. ZYGX2014J110).
Compliance with ethical standards
Conflicts of Interest
The authors declare that there is no conflict of interests regarding the publication of this article.
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