期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 514, 期 -, 页码 141-155出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2018.09.064
关键词
Influential spreaders; Complex networks; Centrality and ranking; H-index centrality; Information diffusion
In recent research, the importance of determining social network users' spreading influence and ranking them has attracted plenty of attention. H-index is one of the methods that have been presented for this purpose, and determines the spreading capability of a node based on the degrees of its neighbors. In this method, part of the information on the neighbors is disregarded, which reduces ranking accuracy. In this paper, a measure is presented for specification of the centrality of nodes through extension of the H-index notion. The results of experimentation over real-world and artificial datasets demonstrate that the proposed measure exhibits higher accuracy and efficiency than in the other compared methods. (C) 2018 Elsevier B.V. All rights reserved.
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