학술논문
Analysis of IEEE Literature Statics and Dynamics based on probability theory and correlation analysis
Document Type
Conference
Author
Source
2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID) MSIEID Management Science Informatization and Economic Innovation Development Conference (MSIEID), 2020. :150-153 Dec, 2020
Subject
Language
Abstract
In recent years, the quantity of big scholarly data has a rapid growth, which brings new problems and challenges to the big scholarly data analysis. This paper employs the probability theory and correlation analysis methods to analyze the dynamics of publicly available research meta-data from IEEE official site. The experiment gives several visual evolution results of the correlations about journals and subjects, which provides some indications for future related research.