Mining research trends with anomaly detection models: the case of social computing research

• Published in: Scientometrics Vol. 103; no. 2; pp. 453 - 469
• Main Authors: Cheng, Qing, Lu, Xin, Liu, Zhong, Huang, Jincai
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.05.2015
• Subjects: Computer Science; Information Storage and Retrieval; Library Science; Research trend; WSARE; Social computing; Interdisciplinary networks; Anomaly detection

We proposed in this study to use anomaly detection models to discover research trends. The application was illustrated by applying a rule-based anomaly detector (WSARE), which was typically used for biosurveillance purpose, in the research trend analysis in social computing research. Based on articl...