Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7381344 | Physica A: Statistical Mechanics and its Applications | 2014 | 9 Pages |
Abstract
Identifying influential spreaders is crucial for understanding and controlling spreading processes on social networks. Via assigning degree-dependent weights onto links associated with the ground node, we proposed a variant to a recent ranking algorithm named LeaderRank (Lü et al., 2011). According to the simulations on the standard SIR model, the weighted LeaderRank performs better than LeaderRank in three aspects: (i) the ability to find out more influential spreaders; (ii) the higher tolerance to noisy data; and (iii) the higher robustness to intentional attacks.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Qian Li, Tao Zhou, Linyuan Lü, Duanbing Chen,