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Weighted h-index for Identifying Influential Spreaders

1
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
2
Beijing Institute of Science and Technology Information, Beijing 100048, China
3
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(10), 1263; https://doi.org/10.3390/sym11101263
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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Gao, L.; Yu, S.; Li, M.; Shen, Z.; Gao, Z. Weighted h-index for Identifying Influential Spreaders. Symmetry 2019, 11, 1263.

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