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Weighted h-index for Identifying Influential Spreaders

Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
Beijing Institute of Science and Technology Information, Beijing 100048, China
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Author to whom correspondence should be addressed.
Symmetry 2019, 11(10), 1263;
Received: 12 September 2019 / Revised: 6 October 2019 / Accepted: 8 October 2019 / Published: 10 October 2019
In this paper, we propose weighted h-index h w and h-index strength s h to measure spreading capability and identify the most influential spreaders. Experimental results on twelve real networks reveal that s h was more accurate and more monotonic than h w and four previous measures in ranking the spreading influence of a node evaluated by the single seed SIR spreading model. We point out that the questions of how to improve monotonicity and how to determine a proper neighborhood range are two interesting future directions. View Full-Text
Keywords: weighted h-index; influential spreaders; SIR model; complex networks weighted h-index; influential spreaders; SIR model; complex networks
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MDPI and ACS Style

Gao, L.; Yu, S.; Li, M.; Shen, Z.; Gao, Z. Weighted h-index for Identifying Influential Spreaders. Symmetry 2019, 11, 1263.

AMA Style

Gao L, Yu S, Li M, Shen Z, Gao Z. Weighted h-index for Identifying Influential Spreaders. Symmetry. 2019; 11(10):1263.

Chicago/Turabian Style

Gao, Liang, Senbin Yu, Menghui Li, Zhesi Shen, and Ziyou Gao. 2019. "Weighted h-index for Identifying Influential Spreaders" Symmetry 11, no. 10: 1263.

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