Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure

doi:10.1142/S0217979219503958

	Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure
	Lu, Pengli; Dong, Chen
	2019-12-30
发表期刊	INTERNATIONAL JOURNAL OF MODERN PHYSICS B
ISSN	0217-9792
卷号	33 期号:32
摘要	The safety and robustness of the network have attracted the attention of people from all walks of life, and the damage of several key nodes will lead to extremely serious consequences. In this paper, we proposed the clustering H-index mixing (CHM) centrality based on the H-index of the node itself and the relative distance of its neighbors. Starting from the node itself and combining with the topology around the node, the importance of the node and its spreading capability were determined. In order to evaluate the performance of the proposed method, we use Susceptible-Infected-Recovered (SIR) model, monotonicity and resolution as the evaluation standard of experiment. Experimental results in artificial networks and real-world networks show that CHM centrality has excellent performance in identifying node importance and its spreading capability.
关键词	Complex networks spreading capability clustering H-index mixing (CHM) centrality susceptible-infected-recovered (SIR) model
DOI	10.1142/S0217979219503958
收录类别	SCI ; SCIE ; SSCI
语种	英语
资助项目	National Natural Science Foundation of China[11361033] ; Natural Science Foundation of Gansu Province[1212RJZA029]
WOS研究方向	Physics
WOS类目	Physics, Applied ; Physics, Condensed Matter ; Physics, Mathematical
WOS记录号	WOS:000513011300012
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
来源库	WOS
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/64281
专题	兰州理工大学
通讯作者	Lu, Pengli
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Lu, Pengli,Dong, Chen. Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure[J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B,2019,33(32).
APA	Lu, Pengli,&Dong, Chen.(2019).Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure.INTERNATIONAL JOURNAL OF MODERN PHYSICS B,33(32).
MLA	Lu, Pengli,et al."Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure".INTERNATIONAL JOURNAL OF MODERN PHYSICS B 33.32(2019).