Advancements and characteristics of scholar profiling research in China

Qiu Xiaohua *

School of International Trade and Economics, Central University of Finance and Economics, China.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 787–794.
Article DOI: 10.30574/ijsra.2024.12.1.0881
Publication history: 
Received on 12 April 2024; revised on 18 May 2024; accepted on 21 May 2024
 
Abstract: 
This study analyzes the development and characteristics of scholar profiling research in China from 2016 to 2022, utilizing content analysis of 38 core journal articles. Scholar profiling, adapted from user profiling in big data, involves extracting and analyzing academic data to build models that describe scholars' characteristics and behaviors. Our findings highlight the use of diverse data sources, including commercial databases and social platforms, and emphasize the importance of data preprocessing and modeling techniques. While applied research dominates, the field faces challenges such as the lack of standardized data collection and depth in model construction. The study underscores the need for robust profiling tools and broader application scenarios to enhance the effectiveness of scholar profiling systems.
 
Keywords: 
Scholar Profiling; China; Characteristics; Advancements
 
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