Journal of System Simulation
Abstract
Abstract: Since the small world network is one of the most common complex networks in the real world, this paper focuses on information diffusion on the small world network platform. In order to explore the relationship between structural features of the small world network with a well-accepted feature for information diffusion, network coverage ratio named, the methodology of multi-agent based modeling and simulation is introduced, instead of mathematical modeling. Through simulation, the impact of only two parameters in the small world network generation algorithm, that is Watts-Strogatz algorithm, is analyzed, where the process of information diffusion acts as the SIR model. The simulation results get not only the bimodal pattern of distribution of the network coverage, but also its relationship with characteristics of the network generation algorithm. The regression function of network coverage ratio variable with the complex network characteristics such as average path length, network diameter, and average clustering coefficient is built.
Recommended Citation
Feng, Li and Ying, Wei
(2019)
"Simulation Analysis of Viral-Style Information Diffusion in Small World Networks,"
Journal of System Simulation: Vol. 31:
Iss.
9, Article 7.
DOI: 10.16182/j.issn1004731x.joss.17-0320
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss9/7
First Page
1790
Revised Date
2017-08-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0320
Last Page
1801
CLC
TP391.3
Recommended Citation
Li Feng, Wei Ying. Simulation Analysis of Viral-Style Information Diffusion in Small World Networks[J]. Journal of System Simulation, 2019, 31(9): 1790-1801.
DOI
10.16182/j.issn1004731x.joss.17-0320
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