Individual and social behavior in tagging systems Export

@inproceedings{citeulike:5017814, abstract = {In tagging systems users can annotate items of interest with free-form terms. A good understanding of usage characteristics of such systems is necessary to improve the design of current and next generation of 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 the system. We present the interest sharing distribution across the system, 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 exhibit a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems.}, address = {New York, NY, USA}, author = {Neto, Elizeu S. and Condon, David and Andrade, Nazareno and Iamnitchi, Adriana and Ripeanu, Matei}, booktitle = {HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia}, citeulike-article-id = {5017814}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1557914.1557947}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1557914.1557947}, doi = {10.1145/1557914.1557947}, isbn = {978-1-60558-486-7}, keywords = {characterization, interest-sharing, netsyslab, tagging}, location = {Torino, Italy}, pages = {183--192}, posted-at = {2009-06-30 12:57:02}, priority = {0}, publisher = {ACM}, title = {Individual and social behavior in tagging systems}, url = {http://dx.doi.org/10.1145/1557914.1557947}, year = {2009} }

TY - CONF ID - citeulike:5017814 L3 - citeulike-article-id:5017814 N2 - In tagging systems users can annotate items of interest with free-form terms. A good understanding of usage characteristics of such systems is necessary to improve the design of current and next generation of 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 the system. We present the interest sharing distribution across the system, 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 exhibit a natural segmentation. Throughout the paper we discuss the potential impact of our findings on the design of mechanisms that support tagging systems. CY - Torino, Italy SN - 978-1-60558-486-7 AD - New York, NY, USA EP - 192 TI - Individual and social behavior in tagging systems PB - ACM T2 - HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia SP - 183 KW - characterization KW - interest-sharing KW - netsyslab KW - tagging AU - Neto, Elizeu AU - Condon, David AU - Andrade, Nazareno AU - Iamnitchi, Adriana AU - Ripeanu, Matei PY - 2009/// UR - http://dx.doi.org/10.1145/1557914.1557947 ER -