ML Anthology

The Evolution of Social Relationships and Strategies Across the Lifespan

Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
ECML-PKDD 2015 pp. 245-249
doi:10.1007/978-3-319-23461-8_23 /ecmlpkdd/2015/dong2015ecmlpkdd-evolution/

Abstract

In this work, we unveil the evolution of social relationships across the lifespan. This evolution reflects the dynamic social strategies that people use to fulfill their social needs. For this work we utilize a large mobile network complete with user demographic information. We find that while younger individuals are active in broadening their social relationships, seniors tend to keep small but closed social circles. We further demonstrate that opposite-gender interactions between two young individuals are much more frequent than those between young same-gender people, while the situation is reversed after around 35 years old. We also discover that while same-gender triadic social relationships are persistently maintained over a lifetime, the opposite-gender triadic circles are unstable upon entering into middle-age. Finally we demonstrate a greater than 80% potential predictability for inferring users’ gender and a 73% predictability for age from mobile communication behaviors.

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Cite

Text

Dong et al. "The Evolution of Social Relationships and Strategies Across the Lifespan." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_23

Markdown

[Dong et al. "The Evolution of Social Relationships and Strategies Across the Lifespan." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/dong2015ecmlpkdd-evolution/) doi:10.1007/978-3-319-23461-8_23

BibTeX

@inproceedings{dong2015ecmlpkdd-evolution,
  title     = {{The Evolution of Social Relationships and Strategies Across the Lifespan}},
  author    = {Dong, Yuxiao and Chawla, Nitesh V. and Tang, Jie and Yang, Yang and Yang, Yang},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {245-249},
  doi       = {10.1007/978-3-319-23461-8_23},
  url       = {https://mlanthology.org/ecmlpkdd/2015/dong2015ecmlpkdd-evolution/}
}