The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Signed networks in social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Using friendship ties and family circles for link prediction
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
TwitApp: in-product micro-blogging for design sharing
Proceedings of the 24th annual ACM symposium on User interface software and technology
Of joy and gender: emotional expression in online social networks
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Proceedings of the 3rd Annual ACM Web Science Conference
Structures of broken ties: exploring unfollow behavior on twitter
Proceedings of the 2013 conference on Computer supported cooperative work
A longitudinal study of follow predictors on twitter
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring Twitter networks in parallel computing environments
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
MicroFilter: real time filtering of microblogging content
Proceedings of the 22nd international conference on World Wide Web companion
Network denoising in social media
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Visualizing the impact of time series data for predicting user interactions
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
City, self, network: transnational migrants and online identity work
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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We investigate the breaking of ties between individuals in the online social network of Twitter, a hugely popular social media service. Building on sociology concepts such as strength of ties, embeddedness, and status, we explore how network structure alone influences tie breaks - the common phenomena of an individual ceasing to "follow" another in Twitter's directed social network. We examine these relationships using a dataset of 245,586 Twitter "follow" edges, and the persistence of these edges after nine months. We show that structural properties of individuals and dyads at Time 1 have a significant effect on the existence of edges at Time 2, and connect these findings to the social theories that motivated the study.