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A Percolation Algorithm to Discover Emerging Research Topics

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Intelligent Computing Theories and Application (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11643))

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Abstract

With the fast growth of the scientific papers, it is vital to discover the implicit knowledge from the enormous information accurately and efficiently. To achieve this goal, we propose a percolation algorithm to discover emerging research topics based on SPO predications, which constructs a three-level SPO-based semantic relation network in the research area of stem cells. We perform the experiments on the scientific papers of stem cells from 2013 to 2015, and the experimental results indicate that the proposed approach can effectively and accurately discover the emerging research topics of stem cells.

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Acknowledgments

The work in this paper was supported by the Fundamental Research Funds for the Central Universities (Grant No. 2682017CX05).

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Authors and Affiliations

  1. School of Mathematics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, People’s Republic of China

    Rong-Qiang Zeng

  2. EHF Key Laboratory of Science, School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, People’s Republic of China

    Li-Yuan Xue

Authors
  1. Rong-Qiang Zeng
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  2. Li-Yuan Xue
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Corresponding author

Correspondence to Rong-Qiang Zeng .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne

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Zeng, RQ., Xue, LY. (2019). A Percolation Algorithm to Discover Emerging Research Topics. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_47

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  • DOI: https://doi.org/10.1007/978-3-030-26763-6_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26762-9

  • Online ISBN: 978-3-030-26763-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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