I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Youtube traffic characterization: a view from the edge
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Folks in Folksonomies: social link prediction from shared metadata
Proceedings of the third ACM international conference on Web search and data mining
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
Multidimensional Social Network in the Social Recommender System
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Creation and growth of online social network
World Wide Web
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On many social media and user---generated content sites, users can not only upload content but also create links with other users to follow their activities. It is interesting to ask whether the resulting user---user Followers' Network is based more on social ties, or shared interests in similar content. This paper reports our preliminary progress in answering this question using around five years of data from social video---sharing site vimeo. Many links in the Followers' Network are between users who do not have any videos in common, which would imply the network is not interest---based, but rather has a social character. However, the Followers' Network also exhibits properties unlike other social networks, for instance, clustering co---efficient is low, links are frequently not reciprocated, and users form links across vast geographical distances. In addition, analysis of the relationship strength, calculated as the number of commonly liked videos, people who follow each other and share some "likes" have more video likes in common than the general population. We conclude by speculating on the reasons for these differences and proposals for further work.