| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7381056 | Physica A: Statistical Mechanics and its Applications | 2014 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Tatsuro Kawamoto, Naomichi Hatano,