EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity

doi:10.1142/S021798492050284X

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	EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity
	Lu, Pengli; Dong, Chen
刊名	MODERN PHYSICS LETTERS B
	2020-09-20
卷号	34 期号:26
关键词	Topological structure neighbor-diversity cumulative centrality extended mixing H-index (EMH) centrality Susceptible-Infected-Recovered (SIR) model
ISSN号	0217-9849
DOI	10.1142/S021798492050284X
英文摘要	The rapid expansion of social network provides a suitable platform for users to deliver messages. Through the social network, we can harvest resources and share messages in a very short time. The developing of social network has brought us tremendous conveniences. However, nodes that make up the network have different spreading capability, which are constrained by many factors, and the topological structure of network is the principal element. In order to calculate the importance of nodes in network more accurately, this paper defines the improved H-index (IH) centrality according to the diversity of neighboring nodes, then uses the cumulative centrality (MC) to take all neighboring nodes into consideration, and proposes the extended mixing H-index (EMH) centrality. We evaluate the proposed method by Susceptible-Infected-Recovered (SIR) model and monotonicity which are used to assess accuracy and resolution of the method, respectively. Experimental results indicate that the proposed method is superior to the existing measures of identifying nodes in different networks.
WOS研究方向	Physics
语种	英语
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号	WOS:000572398100010
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155088]
专题	兰州理工大学
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Lu, Pengli,Dong, Chen. EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity[J]. MODERN PHYSICS LETTERS B,2020,34(26).
APA	Lu, Pengli,&Dong, Chen.(2020).EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity.MODERN PHYSICS LETTERS B,34(26).
MLA	Lu, Pengli,et al."EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity".MODERN PHYSICS LETTERS B 34.26(2020).