Predicting tie strength with social media
University of Illinois Urbana-Champaign
Abstract
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. 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…
Citation impact
- FWCI
- 145.11
- Percentile
- 100%
- References
- 41
Authors
2Topics & keywords
- Social media
- Computer science
- Interpersonal ties
- Complement (music)
- Theme (computing)
- Nothing
- Data science
- World Wide Web
- Reduced inequalities