Large Scale Model for Information Dissemination with Device to Device Communication using Call Details Records

TL;DR

This paper develops a large-scale model for public safety information dissemination via device-to-device communication, utilizing call detail records and epidemic modeling to simulate realistic user mobility and information spread at a country level.

Contribution

It introduces a realistic, large-scale dissemination model incorporating spatial population data, migration patterns, and enhanced epidemic dynamics with latent states.

Findings

Model accurately simulates information spread in Ivory Coast.

Enhanced epidemic model captures complex user mobility behaviors.

Study provides insights into the evolution of information dissemination dynamics.

Abstract

In a network of devices in close proximity such as Device to Device ($D2D$) communication, we study the dissemination of public safety information at country scale level. In order to provide a realistic model for the information dissemination, we extract a spatial distribution of the population of Ivory Coast from census data and determine migration pattern from the Call Detail Records ($CDR$) obtained during the Data for Development ($D4D$) challenge. We later apply epidemic model towards the information dissemination process based on the spatial properties of the user mobility extracted from the provided $CDR$. We then propose enhancements by adding latent states to the epidemic model in order to model more realistic user dynamics. Finally, we study dynamics of the evolution of the information spreading through the population.