Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks.

Huo, Liang'an; Xie, Xiaoxiao

With the development of science and technology, products are being updated more and more quickly. Therefore, the diffusion of product information can make people better choose products. It is very meaningful to study the competition and diffusion of multiple product information. In this paper, the dual product information diffusion model with preference was proposed based on the mean-field equation in complex networks. The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. The accuracy of the theory and model results is verified by computer simulation, and the scenarios in which the two products information are mutually promoted and mutually suppressed are simulated.

MARKOV processes; MONTE Carlo method; DIFFUSION; INFORMATION modeling; MODEL theory; QUEUEING networks

Complexity, 2020, p1

1076-2787

Academic Journal

10.1155/2020/6819512