A network approach to topic summary and knowledge discovery in social tagging

Social tagging;Complex network;Tag;Folksonomy;Visualization;Tag cloud;Small world

Xiang, Xin

关键词: Social tagging;    Complex network;    Tag;    Folksonomy;    Visualization;    Tag cloud;    Small world;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/26138/Xiang_Xin.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

This doctoral research focuses on studying the semantic relationsbetween social tags, items and content creators through co-occurrence analysis, social network analysisand information visualization, thus revealing the role played by social tags in representing and classifying contents and creators, and implications they might have for facilitating information seeking practice, particularly knowledgediscovery and information summary, and as a result, helping the designof information retrieval and browsing interface.A user study is conducted to evaluate the effectivenessof visual constructions based on similarity and network analysis for several tasks that they can be used to support.Both network analysis and user study suggest that tag/authornetworks contain strong community structures that are algorithmicallydetectable and semantically relevant.