CSN Seminar: J. Török - Age prediction using egocentric network

János Török will give a presentation with the title "Age prediction using egocentric network".

Prediction is often done by supervised learning where the many parameter model (neural network) is trained by the some part of data, and the accuracy of the prediction is then verified on the rest. The problem with these approaches that these systems often behave as a black box and not much can be learned from the results. Here we present a simple model which has basically no adjustable parameter but can predict the age of an ego with 85-90% success rate from the age of its acquaintances, using the egocentric network.

The Complex Systems and Networks Seminar is held every Thursday at 14.00. The seminar is a combination of scholars talking about their own work and journal club presentations. Everybody is welcome to attend the seminar. Please do not hesitate to contact the seminar organizers, Mikko Kivelä and Alex Jung, if you have any questions or suggestions.