Modeling and Simulation On Influence of Complex Network Nodes Based on Data Field in

Authors

Chenxi Shao, School of Computer Science and Technology of University of Science and Technology of China, Hefei 230022, China;
Xiaoqi Chen, School of Computer Science and Technology of University of Science and Technology of China, Hefei 230022, China;
Xingfu Wang, School of Computer Science and Technology of University of Science and Technology of China, Hefei 230022, China;
Fuyou Miao, School of Computer Science and Technology of University of Science and Technology of China, Hefei 230022, China;

Abstract

Abstract: Research on the influence of complex network nodes is an important part of data mining. Mining the influential nodes in complex networks not only has important academic significance, but also helps to suppress the outbreak of epidemics, control the spread of rumors, and promote e-commercial products and so on. By selecting the Mixed Degree Decomposition (MDD) value of each node as its mass, the complex network is abstracted into a data field, the influential nodes are identified by combining the data field model, and some well-known centralities are compares with. The classical Susceptible-Infected-Recovered (SIR) epidemic model is used to evaluate the simulation performance by comparing the number of infected nodes. Simulations on real networks show that the data field can effectively identify the influential nodes.

Recommended Citation

Shao, Chenxi; Chen, Xiaoqi; Wang, Xingfu; and Miao, Fuyou (2020) "Modeling and Simulation On Influence of Complex Network Nodes Based on Data Field in," Journal of System Simulation: Vol. 32: Iss. 7, Article 6.
DOI: 10.16182/j.issn1004731x.joss.18-0837
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/6

First Page

1257

Revised Date

2019-04-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0837

Last Page

1266

CLC

TP391.9

Recommended Citation

Shao Chenxi, Chen Xiaoqi, Wang Xingfu, Miao Fuyou. Modeling and Simulation On Influence of Complex Network Nodes Based on Data Field in[J]. Journal of System Simulation, 2020, 32(7): 1257-1266.

DOI

10.16182/j.issn1004731x.joss.18-0837