Colloquium October 15: Eduardo López , Ph.D - "Calling Friends: Predicting friendship duration from mobile calls"
Oct 15, 2021, 3:00 - 4:30 PM
This week's colloquium speaker will be Eduardo López , Ph.D., Assistant Professor/Director of Graduate Studies within the Computational and Data Sciences at George Mason University. Dr. Lopez's talk entitled "Calling Friends: Predicting friendship duration from mobile calls" is scheduled from 3-4:30. Zoom details follow.
We hope you can join us on Friday, October 15 at 3:00 p.m.
Join Zoom Meeting
One tap mobile
+13017158592,,93756887891#,,,,*637018# US (Washington DC)
+12678310333,,93756887891#,,,,*637018# US (Philadelphia)
+1 301 715 8592 US (Washington DC)
+1 267 831 0333 US (Philadelphia)
Meeting ID: 937 5688 7891
Find your local number: https://gmu.zoom.us/u/adPH7Rb5go
Friday, October 15, 2021
3:00 pm - 4:30 pm EDT (UTC-4:00)
Calling friends: Predicting relationship duration from mobile calls
Dr. Eduardo López
The frequency of phone calls between two individuals provides an indication of the importance and emotional intensity of that relationship. However, how this frequency is related to the ‘lifetime’ of the relationship (how long two individuals have known each other) is unclear. We use mobile data from the UK, USA, and Italy to show that the frequency of calls is set early and then remains very stable for the majority of the relationship, with family and friends with longer lifetimes receiving more frequent calls. Further, whether the relationship lasts can be predicted based on calls at some prior early period of observation, suggesting that people evaluate the importance of a relationship early on. Thus lifetime is a key factor shaping communication patterns.
Dr Eduardo López has a PhD in Physics from Boston University, and postdoctoral fellowships from the Los Alamos National Laboratory and the University of Oxford. His main interest is in exploiting the fact that network structures show up in many contexts of the natural, technological, and social worlds, and how this brings in a wealth of network science techniques that can be applied to understand those contexts. More broadly, he is interested in a mathematical modeling of those contexts that preserve realism by always being loyal to the data. Dr López has made contributions in the application of networks in areas as varied as physics, computer science, statistics and probability, biology, economics, psychology, and oil engineering.