DocumentCode
2221444
Title
Analyzing tags in online social bookmarking systemes
Author
Mo, Qian ; Han, Zhongming ; Liu, Yanjun ; Duan, Dagao
Author_Institution
Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume
2
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Del.icio.us and diggo are very popular online bookmarking system, in this paper, different characterizes of two systems are detail analyzed. An entropy-based method to measure relationship of tag is proposed. Comprehensive experiments are conducted and the result show our method can effectively construct folksonomy.
Keywords
Internet; classification; entropy; social networking (online); Del.icio.us; diggo; entropy-based method; folksonomy; online social bookmarking systems; Libraries; Bookmarking; Entropy; folksonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579267
Filename
5579267
Link To Document