Title
A comparative study of spatial, temporal and content-based patterns emerging in YouTube and Flickr
Abstract
Due to the recent advances and wide adoption of Web 2.0 technologies, there is an abundance of publicly available user generated content, which can be a valuable resource for researchers, enabling them to apply sophisticated analysis methods on data of unprecedented scale. This paper focuses on the detection and comparison of spatial, temporal and content-based patterns from user-generated content available through two major content-sharing services YouTube and Flickr aiming to explain some of the observed differences. In particular, we use different clustering approaches and visualization techniques to discover interesting spots in a city using the publicly available content (images, videos and associated metadata), we then classify them as either landmarks or events, and compare their ranking for each of the respective service. Based on that ranking, we confirm the expected pattern that people tend to take pictures of still objects (monuments, sights) and make videos of events. We also consider the temporal aspect of the data, and extract movement trajectories of users. Lastly, we discover that even single users can generate noticable patterns, and that people find diverse uses of these content- sharing services.
Year
DOI
Venue
2011
10.1109/CASON.2011.6085942
CASoN
Keywords
Field
DocType
web 2.0 technologies,pattern clustering,content- sharing services,spatio-temporal mining,youtube,user-generated content,data analysis,spatial patterns,visualization techniques,clustering approach,flickr,data visualisation,internet,temporal patterns,data analysis method,social networking (online),content-based patterns,clustering,heating,user generated content,visualization,optics
User-generated content,World Wide Web,Data visualization,Visualization,Computer science,Pattern clustering,Cluster analysis,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4577-1132-9
4
0.45
References 
Authors
11
7
Name
Order
Citations
PageRank
Milan Mirković1513.47
Dubravko Culibrk227920.02
Symeon Papadopoulos371471.01
Christos Zigkolis41047.13
Yiannis Kompatsiaris594786.09
Gavin McArdle616320.57
Vladimir S. Crnojevic718617.82