Identifying influential spreaders by weighted LeaderRank

Qian Li, Tao Zhou, Linyuan Lü and Duanbing Chen

Physica A: Statistical Mechanics and its Applications, 2014, vol. 404, issue C, 47-55

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.

Keywords: Social networks; Influential spreader; LeaderRank; Random walk (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:404:y:2014:i:c:p:47-55

DOI: 10.1016/j.physa.2014.02.041

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