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RETRACTED ARTICLE: Capture-removal model sampling estimation based on big data

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This article was retracted on 19 May 2018

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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.

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Change history

  • 19 May 2018

    The authors have retracted “Capture-removal model sampling estimation based on big data”, Vol. 20, No. 2, June 2017. Upon re-review of the data, the authors identified an incorrect time setting of the Tianjin explosion in their data collecting process. Due to problems existing in the data management and analysis process, they are unable to repeat the analysis results in this research with the same data and believe that these errors are sufficient to undermine the conclusions of the article. All authors agree to this retraction.

  • 19 May 2018

    The authors have retracted ���Capture-removal model sampling estimation based on big data���, Vol. 20, No. 2, June 2017. Upon re-review of the data, the authors identified an incorrect time setting of the Tianjin explosion in their data collecting process. Due to problems existing in the data management and analysis process, they are unable to repeat the analysis results in this research with the same data and believe that these errors are sufficient to undermine the conclusions of the article. All authors agree to this retraction.

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Acknowledgements

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).

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Authors and Affiliations

  1. School of Political Science and Public Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Zhichao Li, Siyun Gan & Ru Jia

  2. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jun Fang

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  1. Zhichao Li
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  2. Siyun Gan
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Correspondence to Zhichao Li.

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The authors declare that there is no conflict of interests regarding the publication of this article.

Additional information

The authors have retracted this article. Upon re-review of the data, the authors identified an incorrect time setting of the Tianjin explosion in their data collecting process. Due to problems existing in the data management and analysis process, they are unable to repeat the analysis results in this research with the same data and believe that these errors are sufficient to undermine the conclusions of the article. All authors agree to this retraction.

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Li, Z., Gan, S., Jia, R. et al. RETRACTED ARTICLE: Capture-removal model sampling estimation based on big data. Cluster Comput 20, 949–957 (2017). https://doi.org/10.1007/s10586-017-0867-7

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  • DOI: https://doi.org/10.1007/s10586-017-0867-7

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