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Event energy clustering and evaluation based on shock wave model

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Abstract

Frequent occurrence of various events has a tremendous impact on daily social life; and how to accurately evaluate the generated energy by an event is the spot in the event study. With the rapid development of the internet technology, the internet web has become a good platform for evaluating event’s energy. Based on the physical shock wave model was firstly introduced to evaluate the generated energy by an event in this paper, this paper proposed a new method that the shock wave model was used to cluster classify with track sequential information under an action of an event. The experimental results show that it has a good consistency between the generated energy by an event under the shock wave model and people’s behavior affected by an event, and the proposed energy evaluation method is correct and practical.

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Acknowledgments

This work was supported by the Projects of National Science Foundation of China (41404024), Shanghai Science and Technology Development Foundation (14231202600) and Young Teachers Training and Supporting Plan in Shanghai Universities (2014–2016).The authors gratefully acknowledge these supports.

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Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China

    Di Shen, Lei Wang & Chengfan Li

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  1. Di Shen
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  2. Lei Wang
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  3. Chengfan Li
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Correspondence to Chengfan Li.

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Shen, D., Wang, L. & Li, C. Event energy clustering and evaluation based on shock wave model. Cluster Comput 19, 1963–1974 (2016). https://doi.org/10.1007/s10586-016-0627-0

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  • DOI: https://doi.org/10.1007/s10586-016-0627-0

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