The evolution of social relationships and strategies across the lifespan

Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 samegender 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.

Original languageEnglish (US)
Title of host publicationMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Proceedings
EditorsBianca Zadrozny, Francesco Bonchi, Bianca Zadrozny, Jaime Cardoso, Francesco Bonchi, Ricard Gavalda, Francesco Bonchi, Myra Spiliopoulou, Ricard Gavalda, Dino Pedreschi, Jaime Cardoso, Myra Spiliopoulou, Jaime Cardoso, Dino Pedreschi, Francesco Bonchi, Albert Bifet, Dino Pedreschi, Albert Bifet, Bianca Zadrozny, Myra Spiliopoulou, Dino Pedreschi, Myra Spiliopoulou, Michael May, Michael May, Albert Bifet, Ricard Gavalda, Albert Bifet, Michael May, Bianca Zadrozny, Michael May, Jaime Cardoso, Ricard Gavalda
PublisherSpringer Verlag
Number of pages5
ISBN (Print)9783319234601, 9783319234601, 9783319234601, 9783319234601
StatePublished - 2015
Externally publishedYes
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2015 - Porto, Portugal
Duration: Sep 7 2015Sep 11 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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