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

机译:考虑复杂网络偏好的双层产品信息扩散的动态分析

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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.
机译:随着科学技术的发展,产品正在更快地更新。因此,产品信息的扩散可以让人们更好地选择产品。研究多种产品信息的竞争和扩散是非常有意义的。在本文中,基于复杂网络中的平均场方程提出了具有优选的双产品信息扩散模型。通过对马尔可夫链分析分析模型的动态。根据蒙特卡罗仿真机制,获得了产品信息的临界阈值。通过计算机仿真验证了理论和模型结果的准确性,并模拟了两种产品信息的方案进行了模拟和相互抑制的情况。

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