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This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr and YouTube from 2003 to 2008. Three algorithms are designed to study the macro and micro tag growth as well as dynamics of taggers’ activities respectively. Moreover, we propose a Tagger Tag Resource LDA (TTR-LDA) model to explore the evolution of topics(More)
School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China School of Library and Information Science, Indiana University, Bloomington, IN, USA Department of Computer Science and Technology, Tsinghua University,China School of International Business Administration, Shanghai University of Finance and(More)
This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr and YouTube from 2003 to 2008. It analyzes the evolution of the usage of the most popular tags in each of these three social networks. We find that for different tagging systems, the dynamic features reflect different cognitive processes. At the macro level,(More)
Most researches about business components address the technical problems to draw the business process into structural model. But the basis of the "modeling" work is illustrating the real process precisely, which is not easy because of the difficulty to extract process information from the knowledge embedded in human experiences, especially when knowledge is(More)
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