A hybrid integration framework based on LOOCV and SARIMA: relationship exploring and predictive analysis between discipline attention and literature research

• Published in: PeerJ. Computer science Vol. 11; p. e2754
• Main Authors: Zhao, Yulin, Li, Junke, Liu, Kai, Shang, Chaowang
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 01.04.2025; PeerJ Inc
• Subjects: Analysis; Big data; Computer Education; Data Science; Discipline attention; Forecasts and trends; Literature research; Multimedia; Network Science and Online Social Networks; Predictive analysis; Relationship exploration; SARIMA; Social networks; Visual Analytics; China; Discipline attention; Literature research; Predictive analysis; Relationship exploration; SARIMA

Analyzing the relationship between the discipline of network attention and literature research can provide new insights for the innovative development of future disciplines. Many current studies focus on network attention, but its innovative application in the field of subject teaching has not been...