Mapping the Research Trends by Co-word Analysis Based on Keywords from Funded Project

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Abstract

In this paper, a co-word method based on keywords from funded project is proposed to map the research trends. Firstly, the keywords of funded project are used to describe the rsearch topic statistically. Then, co-word analysis, including cluster analysis, social network analysis, is adopted to study the relationship of each research topic. The projects of Management Science and Engineering in National Natural Science Foundation of China during 2011-2015 are collected as the empirical data. The data is composed of General Project, Youth Project, and Regional Project. The results show that the focus of researches are Game Theory, Supply Chain Management, Complex Network, Data Mining, Optimize, Risk Management, and Data Envelopment Analysis. Moreover, Game Theory, Supply Chain Management, and Data Mining are hot topics. The research fields in Management Science and Engineering in China are varied, and the well developed and core research fields are fewer.

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Chen, X., Chen, J., Wu, D., Xie, Y., & Li, J. (2016). Mapping the Research Trends by Co-word Analysis Based on Keywords from Funded Project. In Procedia Computer Science (Vol. 91, pp. 547–555). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.07.140

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