The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
SIAM Journal on Discrete Mathematics
Usage patterns of collaborative tagging systems
Journal of Information Science
Methods for comparing rankings of search engine results
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web dynamics
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
User rankings of search engine results
Journal of the American Society for Information Science and Technology
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
An epistemic dynamic model for tagging systems
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Understanding the efficiency of social tagging systems using information theory
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Social tags: meaning and suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Harnessing the wisdom of crowds in wikipedia: quality through coordination
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Emergence of consensus and shared vocabularies in collaborative tagging systems
ACM Transactions on the Web (TWEB)
Web 2.0 for Librarians and Information Professionals
Web 2.0 for Librarians and Information Professionals
Web 2.0 and Social Networking for the Enterprise: Guidelines and Examples for Implementation and Management Within Your Organization
Upper tag ontology for integrating social tagging data
Journal of the American Society for Information Science and Technology
A similarity measure for indefinite rankings
ACM Transactions on Information Systems (TOIS)
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A new collaborative approach in information organization and sharing has recently arisen, known as collaborative tagging or social indexing. A key element of collaborative tagging is the concept of collective intelligence (CI), which is a shared intelligence among all participants. This research investigates the phenomenon of social tagging in the context of CI with the aim to serve as a stepping-stone towards the mining of truly valuable social tags for web resources. This study focuses on assessing and evaluating the degree of CI embedded in social tagging over time in terms of two-parameter values, number of participants, and top frequency ranking window. Five different metrics were adopted and utilized for assessing the similarity between ranking lists: overlapList, overlapRank, Footrule, Fagin's measure, and the Inverse Rank measure. The result of this study demonstrates that a substantial degree of CI is most likely to be achieved when somewhere between the first 200 and 400 people have participated in tagging, and that a target degree of CI can be projected by controlling the two factors along with the selection of a similarity metric. The study also tests some experimental conditions for detecting social tags with high CI degree. The results of this study can be applicable to the study of filtering social tags based on CI; filtered social tags may be utilized for the metadata creation of tagged resources and possibly for the retrieval of tagged resources. © 2012 Wiley Periodicals, Inc.