Semantic Scholar Open Access 2016 274 sitasi

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

Xiuwen Chen Jianming Chen Dengsheng Wu Yongjia Xie Jing Li

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (5)

Xiuwen Chen

Jianming Chen

Dengsheng Wu

Yongjia Xie

Jing Li

Format Sitasi

APA MLA BibTeX

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. https://doi.org/10.1016/J.PROCS.2016.07.140

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.PROCS.2016.07.140

Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Total Sitasi: 274×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.PROCS.2016.07.140
Akses: Open Access ✓