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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Zhang, X., Li, X., Jiang, S., Li, X., Xie, B. (2019). Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network. In: Cheng, X., Jing, 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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