Reconstructing news spread networks and studying its dynamics

Abstract

News spread in internet media outlets can be seen as a contagious process forming temporal networks representing the influence between published articles. In this article we propose a methodology based on the application of natural language analysis of the articles to reconstruct the news spread network. From the reconstructed network, we show that the dynamics of the news spread can be approximated by a classical SIR epidemiological dynamics upon the network.