EHC: Extended H-index Centrality measure for identification of users’ spreading influence in complex networks

Ahmad Zareie and Amir Sheikhahmadi

Physica A: Statistical Mechanics and its Applications, 2019, vol. 514, issue C, 141-155

Abstract: 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.

Keywords: Influential spreaders; Complex networks; Centrality and ranking; H-index centrality; Information diffusion (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:514:y:2019:i:c:p:141-155

DOI: 10.1016/j.physa.2018.09.064

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