The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The Journal of Machine Learning Research
SCAN: a structural clustering algorithm for networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Structure and Network in the YouTube Core
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Understanding video interactions in youtube
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Detecting Communities in Large Networks by Iterative Local Expansion
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Analysis of an online health social network
Proceedings of the 1st ACM International Health Informatics Symposium
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YouTube has become a vast repository of not only video content, but also of rich information about the reactions of viewers and relationships among users. This meta-data offers novel ways for public health researchers to increase their understanding of, and ultimately to more effectively shape, people's attitudes and behaviors as both consumers and producers of health. We illustrate some of the possibilities here by showing how communities of videos, authors, subscribers and commenters can be extracted and analyzed. Tobacco use serves as a case study throughout.