期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 404, 期 -, 页码 47-55出版社
ELSEVIER
DOI: 10.1016/j.physa.2014.02.041
关键词
Social networks; Influential spreader; LeaderRank; Random walk
资金
- National Natural Science Foundation of China [11165003, 11205042, 11222543]
- Program for Excellent Talents in Guangxi Higher Education Institutions
- Huawei university [YBCB2011057]
- Program for New Century Excellent Talents in University [NCET11-0070]
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 (Lu 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. (C) 2014 Elsevier B.V. All rights reserved.
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