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Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1058))

Abstract

The contributions of scientific researchers include personal influence and talent training achievements. In this paper, using 9964 high-quality co-author scientific papers in English teaching research from China citation database from 1997 to 2016, a weighted coauthor network with variety factors is constructed. A model was proposed to calculate the author’s contribution to the research team by combining personal and network characteristics. The results reveal a variety of characteristics of the co-author networks in English teaching research field, including statistical properties, community features, and authors’ contribution to teams in this discipline.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (No. 61402119).

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Authors and Affiliations

  1. Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou, 510006, Guangdong, China

    **nmeng Zhang & **nguang Li

  2. Non-universal Language Intelligent Processing Laboratory, Guangdong University of Foreign Studies, Guangzhou, 510006, Guangdong, China

    **nmeng Zhang, Shengyi Jiang, **a Li & Bolin **e

  3. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, 510006, Guangdong, China

    **nmeng Zhang, Shengyi Jiang, **a Li & Bolin **e

Authors
  1. **nmeng Zhang
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  2. **nguang Li
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  3. Shengyi Jiang
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  4. **a Li
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  5. Bolin **e
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Corresponding author

Correspondence to **nmeng Zhang .

Editor information

Editors and Affiliations

  1. Guilin University of Technology, Guilin, China

    **aohui Cheng

  2. Northeast Forestry University, Harbin, China

    Weipeng **g

  3. Harbin University of Science and Technology, Harbin, China

    **anhua Song

  4. National Academy of Guo Ding Institute of Data Science, Harbin, China

    Zeguang Lu

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© 2019 Springer Nature Singapore Pte Ltd.

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Zhang, X., Li, X., Jiang, S., Li, X., **e, B. (2019). Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network. In: Cheng, X., **g, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_5

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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