DocumentCode
560299
Title
Comparison Research of Statistical Correlation Coefficient when Analyzing Theme Evolution
Author
Fan, Zhao ; Ping, Zong
Author_Institution
Libr., North China Electr. Power Univ., Beijing, China
Volume
1
fYear
2011
fDate
26-27 Nov. 2011
Firstpage
503
Lastpage
505
Abstract
The research on similarity methodology of dynamic tracing disciplinary themes based on improved similarity algorithm is the improvement and perfection of current similarity methodology based on co-word analysis, and also is good supplement to the mapping method of dynamic tracing disciplinary themes based on co-word analysis. Statistical correlation coefficient is the key arithmetic when analyzing theme evolution. There are two kinds of methods used to compute the statistical correlation coefficient, and every method consists of some types of arithmetic again. This paper respectively had the comparative research on correlation coefficients belonging to corresponding large class and two large classes. Thus, we established the basis for the subsequent process in the analysis of theme evolution.
Keywords
correlation methods; information analysis; statistical analysis; word processing; co-word analysis; dynamic tracing disciplinary themes; mapping method; similarity algorithm; statistical correlation coefficient; theme evolution; Analytical models; Clustering methods; Correlation; Data models; Euclidean distance; Information science; Vectors; arithmetic; comparison research; statistical correlation coefficient; theme evolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-61284-450-3
Type
conf
DOI
10.1109/ICIII.2011.128
Filename
6115058
Link To Document