Description
This paper creates a model of the internet as a network graph and then extracts its structural characteristics; these characteristics in turn help us build models that can predict how the Internet will evolve. Lasso logistic regression, gradient-boosted decision trees and random forest decision trees were evaluated in their robustness in predicting the internet's evolution. For details, see a short paper here
Undergraduate Research Project conducted by Cuong Nguyen `14
Data and Source Code
Data for this project were collected by The Cooperative Association for Internet Data Analysis.
Source code can be found here