A calculation method for the development trend of subject keywords

• Published in: Journal of computational methods in sciences and engineering Vol. 20; no. 1; pp. 301 - 312
• Main Author: Li, Yuyao
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2020; Sage Publications Ltd
• Subjects: Algorithms; Citation analysis; Dynamic characteristics; Keywords; Mathematical analysis; dynamic characters of keywords; subject trend; Domain-specific common word sets; TF-IDF
• ISSN: 1472-7978; 1875-8983
• DOI: 10.3233/JCM-193789

SIGNIFICANCE: The complex network structure information such as citation network and co-authored network provides rich structural information for subject trend research, thus research on deep mining of existing static structure information to obtain keyword trend receives less attention. Both dynamic method for the extraction of domain-specific common word set and the method for calculating keywords dynamic characteristic (DC value) proposed in this paper can be used as basic methods and parameters for subject trend research. METHOD: Employed mature and widely used TF-IDF algorithm as the word frequency calculation tool, this paper use stable static structural information such as publishing date and journal name to propose a method of calculating the dynamic characteristic of subject keywords based on stable structure such as time, journal name and domain-specific common word set. RESULT: The experimental results show that the keywords’ DC value is positively correlated to the change trend of keywords based on time.