Predicting tie strength with social media

@article{Gilbert2009PredictingTS,
  title={Predicting tie strength with social media},
  author={Eric Gilbert and Karrie Karahalios},
  journal={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
  year={2009}
}
  • Eric Gilbert, K. Karahalios
  • Published 4 April 2009
  • Computer Science
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. [] Key Method The model builds on a dataset of over 2,000 social media ties and performs quite well, distinguishing between strong and weak ties with over 85% accuracy. We complement these quantitative findings with interviews that unpack the relationships we could not predict. The paper concludes by illustrating how modeling tie strength can improve social media design elements, including privacy…

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