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Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure
Lu, Pengli; Dong, Chen
2019-12-30
Source PublicationINTERNATIONAL JOURNAL OF MODERN PHYSICS B
ISSN0217-9792
Volume33Issue:32
AbstractThe 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.
KeywordComplex networks spreading capability clustering H-index mixing (CHM) centrality susceptible-infected-recovered (SIR) model
DOI10.1142/S0217979219503958
Indexed BySCI ; SSCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11361033] ; Natural Science Foundation of Gansu Province[1212RJZA029]
WOS Research AreaPhysics
WOS SubjectPhysics, Applied ; Physics, Condensed Matter ; Physics, Mathematical
WOS IDWOS:000513011300012
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.lut.edu.cn/handle/2XXMBERH/64281
Collection兰州理工大学
Corresponding AuthorLu, Pengli
AffiliationLanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
First Author AffilicationLanzhou University of Technology
Corresponding Author AffilicationLanzhou University of Technology
First Signature AffilicationLanzhou University of Technology
Recommended Citation
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).
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