WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Characterizing social cascades in flickr
Proceedings of the first workshop on Online social networks
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Social capital on facebook: differentiating uses and users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multi-relational matrix factorization using bayesian personalized ranking for social network data
Proceedings of the fifth ACM international conference on Web search and data mining
Exploration and discovery of user-generated content in large information spaces
Proceedings of the fifth ACM international conference on Web search and data mining
Are friends overrated? A study for the social news aggregator Digg.com
Computer Communications
Online team formation in social networks
Proceedings of the 21st international conference on World Wide Web
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Understanding user behavior in user generated-contend systems (UGCs) is a fundamental building block for maximizing usefulness of these systems. For example, the importance of users' connections and the degree of iteration is needed in order to build meaningful recommendation systems. In this paper, we evaluate the impact of users' network on marking photos as favorites in Flickr considering various levels of distance between users in the network topology. We have observed that users' first-degree contacts are clearly the biggest contributors to the evaluation of hers/his photos (i.e., marking them as favorites). This result indicates that, in contrast to other UGCs such as Twitter and Digg, contact relations are a good indication of content interests in Flickr.