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

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 neigh...

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Bibliographic Details
Published in:Physica A 2019-01, Vol.514, p.141-155
Main Authors: Zareie, Ahmad, Sheikhahmadi, Amir
Format: Article
Language:English
Subjects:
Centrality and ranking
Complex networks
H-index centrality
Influential spreaders
Information diffusion
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Summary: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. •The goal is to rank influential users in social networks for spreading process.•We proposed a cumulative function for specification of nodes’ neighbors information.•An extension of the H-index method is proposed based on the cumulative function.•The proposed method can rank influential users accurately.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2018.09.064