Prediction of complex public opinion evolution based on improved multi-objective grey wolf optimizer

Su, Yilin; Li, Yongsheng; Xuan, Shibin

doi:10.1016/j.eij.2023.02.001

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Among these sub-criteria, interpersonal relationships did not achieve an acceptable factor loading, and was therefore removed from the research questions. However, the other two sub-criteria, with acceptable loading factors, have been mentioned in several research studies as effective elements on public opinion perception [5,[10][11][12][13]26,27]. In the present study, the social environment ranked fourth among the five main criteria (Table 15), and the hypothesis that the social environment can influence public opinion formation was supported by the results of the Friedman test.…”

Section: Discussionsupporting

confidence: 68%

“…Given the diverse range of users and residents, including both professionals and the general public, participatory planning processes are of paramount importance [9]. Recognizing the significance of public opinion in urban space planning and design, governmental sectors have sought to anticipate evolving public sentiments to effectively manage social and spatial transformations [10].…”

Section: Introductionmentioning

confidence: 99%

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Examining How Urban Public Spaces and Virtual Spaces Affect Public Opinion in Beijing, China

Shao,

Liu,

Zhou

2024

Sustainability

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Urban public spaces significantly influence public perceptions and experiences. This study, conducted in Beijing, China, employs structural equation modeling (SEM) and Friedman testing to analyze key criteria—safety, attractiveness, facilities, activities, and social environment—that impact perceptions of both virtual and physical public spaces. The findings reveal that attractiveness is the most influential criterion, significantly shaping public opinion. Facilities and activities follow, highlighting the necessity for well-equipped amenities and engaging social activities. The social environment also plays a crucial role, emphasizing the need for spaces that foster social interactions. Safety, while important, is less influential compared to the other criteria. These results underscore the importance of aesthetic considerations, well-equipped amenities, and vibrant social environments in urban design. This study provides actionable insights for urban designers and planners, advocating for a balanced approach that prioritizes these criteria to enhance the quality of life in urban areas. By focusing on these aspects, urban planners can create more effective and satisfying public spaces that meet the diverse needs of the community, ensuring that both physical and virtual spaces contribute positively to urban living.

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Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Examining How Urban Public Spaces and Virtual Spaces Affect Public Opinion in Beijing, China

Shao,

Liu,

Zhou

2024

Sustainability

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“…The online public opinion events data show high-dimensional and nonlinear characteristics [ 18 ]. It is entirely appropriate to use deep learning methods for forecasting emergencies.…”

Section: Introductionmentioning

confidence: 99%

IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies

Mu,

Liao,

et al. 2023

PLoS ONE

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When emergencies are widely discussed and shared, it may lead to conflicting opinions and negative emotions among internet users. Accurately predicting sudden network public opinion events is of great importance. Therefore, this paper constructs a hybrid forecasting model to solve this problem. First, this model introduces an improved inertia weight and an adaptive variation operation to enhance the Particle Swarm Optimization (PSO) algorithm. Then, the improved PSO (IPSO) algorithm optimizes the parameters of the Long Short-Term Memory (LSTM) neural network. Finally, the IPSO-LSTM hybrid prediction model is constructed to forecast and analyze emergency public opinion dissemination trends. The experimental outcomes indicate that the IPSO-LSTM model surpasses others and has high prediction accuracy. In the four emergency predictions we select, the MAPE value of IPSO-LSTM is 74.27% better than that of BP, 33.96% better than that of LSTM, and 13.59% better than that of PSO-LSTM on average. This study aims to assist authorities in quickly identifying potential public opinion crises, developing effective strategies, and promoting sustainable and positive growth in the network environment.

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Minimizing tardiness and makespan for distributed heterogeneous unrelated parallel machine scheduling by knowledge and Pareto-based memetic algorithm

Wang

Gong

2023

Egyptian Informatics Journal

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Prediction of complex public opinion evolution based on improved multi-objective grey wolf optimizer

Cited by 4 publications

References 4 publications

Examining How Urban Public Spaces and Virtual Spaces Affect Public Opinion in Beijing, China

Examining How Urban Public Spaces and Virtual Spaces Affect Public Opinion in Beijing, China

IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies

Minimizing tardiness and makespan for distributed heterogeneous unrelated parallel machine scheduling by knowledge and Pareto-based memetic algorithm

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