Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The Wisdom of Crowds
Mining Social Networks for Targeted Advertising
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
iLink: search and routing in social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Planetary-scale views on a large instant-messaging network
Proceedings of the 17th international conference on World Wide Web
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Analyzing the video popularity characteristics of large-scale user generated content systems
IEEE/ACM Transactions on Networking (TON)
Are friends overrated? A study for the social news aggregator Digg.com
Computer Communications
Proceedings of the Fifth Workshop on Social Network Systems
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The key feature of online social networks is the ability of users to become active, make friends and interact with those around them. Such interaction is typically perceived as critical to these platforms; therefore, a significant share of research has investigated the characteristics of social links, friendship relations, community structure, searching for the role and importance of individual members. In this paper, we present results from a multi-year study of the online social network Digg.com, indicating that the importance of friends and the friend network in the propagation of information is less than originally perceived. While we note that users form and maintain social structure, the importance of these links and their contribution is very low: Even nearly identically interested friends are only activated with a probability of 2% and only in 50% of stories that became popular we find evidence that the social ties were critical to the spread.