Organizing Social Bookmarking Tags Using a Network Analysis Approach
Social bookmarking tags are generated and shared by web users as online content metadata for different reasons. We believe these reasons can be used to distinguish tags from each other, and thus, can be used to organize the flat tag space into a faceted structure. In this research, we collected a large set of tags from Delicious and empirically analyzed them using a social network analysis approach. Our results show that tags can be organized into a faceted structure and these facets can be derived from the social network analysis.
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