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Individual and social behavior in tagging systems (2009)
| Content Provider | CiteSeerX |
|---|---|
| Author | Santos-Neto, Elizeu Condon, David Andrade, Nazareno Iamnitchi, Adriana Ripeanu, Matei Distribuídos, Lab De Sistemas |
| Description | In tagging systems users can annotate items of interest with freeform terms. A good understanding of the usage characteristics of such systems is necessary to improve the design of current and next generation tagging systems. To this end, this work explores three aspects of user behavior in CiteULike and Connotea, two systems that include tagging features to support online personalized management of scientific publications. First, this study characterizes the degree to which users re-tag previously published items and reuse tags: 10 to 20 % of the daily activity can be characterized as re-tagging and about 75 % of the activity as tag reuse. Second, we use the pairwise similarity between users ’ activity to characterize the interest sharing in these systems. We present the interest sharing distribution across the systems, show that this metric encodes information about existing usage patterns, and attempt to correlate interest sharing levels to indicators of collaboration such as co-membership in discussion groups and semantic similarity of tag vocabularies. Finally, we show that interest sharing leads to an implicit structure that exhibits a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems. In 20th ACM Conference on Hypertext and Hypermedia |
| File Format | |
| Language | English |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | Next Generation Usage Characteristic Semantic Similarity Discussion Group Interest Sharing Natural Segmentation Social Behavior Implicit Structure Tag Reuse Good Understanding Freeform Term Daily Activity Usage Pattern Pairwise Similarity Interest Sharing Level Tag Vocabulary Potential Impact User Behavior Scientific Publication User Activity Reuse Tag Personalized Management System User |
| Content Type | Text |
| Resource Type | Article |
