  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.
