Abstract
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.
Published Version
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