Viral spreading of daily information in online social networks

TL;DR

This paper investigates how correlations in spreading rates can lead to viral information dissemination in online social networks, highlighting the importance of rate dynamics in reaching widespread diffusion.

Contribution

It introduces a model where correlated spreading rates increase the likelihood of viral spread, shifting the critical threshold for widespread dissemination.

Findings

Correlation between spreading rates enhances viral spread

Shifts the tipping point for widespread dissemination

Model explains mechanisms behind viral information diffusion

Abstract

We explain a possible mechanism of an information spreading on a network which spreads extremely far from a seed node, namely the viral spreading. On the basis of a model of the information spreading in an online social network, in which the dynamics is expressed as a random multiplicative process of the spreading rates, we will show that the correlation between the spreading rates enhances the chance of the viral spreading, shifting the tipping point at which the spreading goes viral.