Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity

The SCN networks is incrementally generated by stochastic configuration (SC) algorithms. It randomly assigns the input weights and deviations of hidden nodes through a supervisory mechanism, which can be trained by solving linear modeling problems. The version that uses least squares to estimate the output weight performs well. This article introduces an alternative strategy for performing complete Bayesian inference (BI) of SCN networks. Different from the traditional way, the Bayesian training algorithm we proposed can obtain an entire probability distribution on the optimal output weight of the SCN networks, instead of a single pointwise estimate. The advantage of the Bayesian inference method lies in the possibility of introducing other prior knowledge during the training process, providing a way to measure uncertainty during the testing phase and the ability to automatically infer hyper-parameters from given data. The BI algorithm proposed in this article for regression problem can be implemented through an iterative process under some practical assumptions. Experimental results show that our proposed Bayesian SCN algorithm performs well in solving data modeling problems with a large number of outliers.

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“…Next, our work is to apply this method to evolutionary game and other fields. [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]…”

Section: Discussionmentioning

confidence: 99%

Bayesian stochastic configuration networks for robust data modeling

Rong-zhi

Dai

et al. 2021

Concurrency and Computation

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“…After that, scholars have carried out extended research on the basis of the SIR model, such as improving the crowd classification method, improving the propagation rules, and so on. For example, Chen et al (26) added an individual category of exposed state and constructed the SEIR model. Exposed refers to the person who has been in contact with an infected person but has no ability to infect others.…”

Section: Methodsmentioning

confidence: 99%

“…Zheng et al (25) pointed out that consumers tend to imitate others, and social media posts can play an important role in the diffusion of imitation and purchase behavior. Chen et al (26) used the Susceptible-Exposed-Infected-Removed (SEIR) model to describe the state transition of individuals, studied the spread of public opinion in combination with the heterogeneity characteristics, such as individual herd, and verified the rationality and effectiveness of the model with the pricing event of the COVID-19 vaccine independently developed in China. Li et al (27) integrated the particularity of panic buying public opinion, established a model of panic buying public opinion transmission, and analyzed the material panic buying problem caused by panic in an uncertain environment through computational simulation experiments.…”

Section: Introductionmentioning

confidence: 99%

Propagation Model of Panic Buying Under the Sudden Epidemic

Jing

Chen

et al. 2021

Front. Public Health

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The sudden outbreak of COVID-19 at the end of 2019 has had a huge impact on people's lives all over the world, and the overwhelmingly negative information about the epidemic has made people panic for the future. This kind of panic spreads and develops through online social networks, and further spreads to the offline environment, which triggers panic buying behavior and has a serious impact on social stability. In order to quantitatively study this behavior, a two-layer propagation model of panic buying behavior under the sudden epidemic is constructed. The model first analyzes the formation process of individual panic from a micro perspective, and then combines the Susceptible-Infected-Recovered (SIR) Model to simulate the spread of group behavior. Then, through simulation experiments, the main factors affecting the spread of panic buying behavior are discussed. The experimental results show that: (1) the dissipating speed of individual panics is related to the number of interactions and there is a threshold. When the number of individuals involved in interacting is equal to this threshold, the panic of the group dissipates the fastest, while the dissipation speed is slower when it is far from the threshold; (2) The reasonable external information release time will affect the occurrence of the second panic buying, meaning providing information about the availability of supplies when an escalation of epidemic is announced will help prevent a second panic buying. In addition, when the first panic buying is about to end, if the scale of the second panic buying is to be suppressed, it is better to release positive information after the end of the first panic buying, rather than ahead of the end; and (3) Higher conformity among people escalates panic, resulting in panic buying. Finally, two cases are used to verify the effectiveness and feasibility of the proposed model.

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“…The visual imaging system consists of several typical components 33,34 : light source, lens, and industrial camera. For specific applications, choosing the best lighting system from many schemes is the key to the stable operation of the whole image processing system.…”

Section: Multidimensional Feature Information Collection For Steel Platementioning

confidence: 99%

Towards the steel plate defect detection: Multidimensional feature information extraction and fusion

Hao

Wang

Bai

et al. 2021

Concurrency and Computation

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Product surface quality inspection based on machine vision has been paid more and more attention in modern industrial production. Multidimensional feature information fusion also plays an important role in the detection rate and accuracy of steel plate defects. Based on the machine vision based defect detection of steel plate surface, this article mainly studies the collection, extraction and fusion of multidimensional feature information. The visual imaging system, the surface defect detection technology based on vision, the depth camera and the light source type are briefly reviewed. At the same time, the roadmap and related methods of multidimensional feature information acquisition system are studied. Finally, the multidimensional fusion defect detection technology is prospected and summarized.

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Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity

Cited by 29 publications

References 31 publications

Bayesian stochastic configuration networks for robust data modeling

Bayesian stochastic configuration networks for robust data modeling

Propagation Model of Panic Buying Under the Sudden Epidemic

Towards the steel plate defect detection: Multidimensional feature information extraction and fusion

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