Title :
Research on similarity algorithm improvement of dynamic tracing disciplinary themes based on co-word analysis
Author :
Fan, Zhao ; Ke, Su ; Meili, Ran
Author_Institution :
Libr., North China Electr. Power Univ., Beijing, China
Abstract :
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. Three algorithms of similarity methodology have common shortcoming that lacking of deeply analyzing the relationship of theme evolution. Aiming at the common flaw and deeply analyzing theme evolution, author has done some improving research based on Coulter´s similarity index, and expatiated on the related problems of improved algorithm. Through this research, we can more deeply and imperceptiblly reveal the relationship of theme evolution, and more accurately trace the evolution track of disciplinary theme.
Keywords :
information analysis; Coulter´s similarity index; coword analysis; current similarity methodology; dynamic tracing disciplinary themes; evolution track; similarity algorithm improvement; theme evolution; Algorithm design and analysis; Clustering algorithms; Computer science; Educational institutions; Heuristic algorithms; Information science; Libraries; Mathematics; Power generation economics; Radio access networks; co-word analysis; disciplinary theme evolution; similarity algorithm; similarity analysis;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477963