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Generating Risk Maps for Evolution Analysis of Societal Risk Events

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Knowledge and Systems Sciences (KSS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 949))

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Abstract

The development of societal risk events has been heavily concerned by both the government and the public. Faced with ever-increasing information, people struggle to follow the evolution of societal risk events. In order to identify the evolution of societal risk events, this paper presents an improved algorithm based on the method of generating information maps. One real-world case is illustrated and the evaluation is given. The improved approach for the evolution analysis whose results show the promising performance may be used for post-operation analysis, and decision-making process for government management.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Silhouette_(clustering).

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Acknowledgement

This research is supported by National Key Research and Development Program of China (2016YFB1000902) and National Natural Science Foundation of China (61473284 & 71731002).

Author information

Authors and Affiliations

  1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Nuo Xu & Xijin Tang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Nuo Xu & Xijin Tang

Authors
  1. Nuo Xu
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  2. Xijin Tang
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Corresponding author

Correspondence to Xijin Tang .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Tsinghua University, Beijing, China

    Jian Chen

  2. Graduate School of Business Sciences, University of Tsukuba, Bunkyō, Tokyo, Tokyo, Japan

    Yuji Yamada

  3. Faculty of Business Sciences, University of Tsukuba, Tokyo, Japan

    Mina Ryoke

  4. Institute of Systems Science, CAS Academy of Mathematics and Systems Sciences, Beijing, China

    Xijin Tang

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Xu, N., Tang, X. (2018). Generating Risk Maps for Evolution Analysis of Societal Risk Events. In: Chen, J., Yamada, Y., Ryoke, M., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2018. Communications in Computer and Information Science, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-3149-7_9

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  • DOI: https://doi.org/10.1007/978-981-13-3149-7_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3148-0

  • Online ISBN: 978-981-13-3149-7

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