Machine Learning
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Usage patterns of collaborative tagging systems
Journal of Information Science
Latent Friend Mining from Blog Data
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Combating spam in tagging systems
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Can social bookmarking enhance search in the web?
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Can social bookmarking improve web search?
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
A co-classification framework for detecting web spam and spammers in social media web sites
Proceedings of the 18th ACM conference on Information and knowledge management
| Hi-index | 0.00 |
Social bookmarking tools enable users to save URLs forfuture reference, to create tags for annotating Web pages, and to share Web pages they found interesting with others. This paper presents a case study on the application of link mining to a social bookmarking Web site called del.icio.us. We investigated the user bookmarking and tagging behaviors and described several approaches to find surprising patterns in the data. We also identified the characteristics that made certain users more popular than others. Finally, we demonstrated the effectiveness of using social bookmarks and tags for predicting mutual ties between users.