scholarly journals Research on Cellular Automata Network Public Opinion Transmission Model Based on Combustion Theory

2020 ◽  
Vol 1544 ◽  
pp. 012131
Author(s):  
Hongzhou Chen ◽  
Yinghua Song ◽  
Dan Liu
Keyword(s):  
Public Opinion ◽  
Cellular Automata ◽  
Transmission Model ◽  
Combustion Theory ◽  
Model Based ◽  
Automata Network ◽  
Network Public Opinion

The Application Study of Simulation Model Based on Cellular Automata in the Evolution of Internet Public Opinion

2012 ◽  
Vol 198-199 ◽  
pp. 828-832 ◽  
Author(s):  
Cui You Yao
Keyword(s):  
Public Opinion ◽  
Cellular Automata ◽  
Simulation Model ◽  
Network Evolution ◽  
The Internet ◽  
Application Study ◽  
Cellular Automata Model ◽  
Model Based

In this paper, the author analysized the internet evolution of public opinion and thought it was suitable for simulating network evolution in public opinion by using cellular automata model. At the same time, it was discussed for the application of cellular automata simulation model of internet evolution of public opinion. In the end, the author gave some conclusions.

scholarly journals Network public opinion propagation model based on the influence of media and interpersonal communication

2019 ◽  
Vol 33 (32) ◽  
pp. 1950393 ◽  
Author(s):  
Yue-Xia Zhang ◽  
Yi-Xuan Feng ◽  
Rui-Qi Yang
Keyword(s):  
Public Opinion ◽  
Interpersonal Relationships ◽  
Media Coverage ◽  
Rapid Development ◽  
Propagation Model ◽  
Practical Significance ◽  
Seir Model ◽  
Model Based ◽  
The Impact ◽  
Network Public Opinion

With the rapid development of the Internet, social media networks have become the primary platform for people to express their views. In addition, network public opinion has a considerable influence on society. Thus, considering the significant impact of online public opinion on society, it is necessary to study and analyze the propagation process for public opinion. In this study, we propose the Media and Interpersonal Relationship-SEIR (MI-SEIR) model based on the SEIR model. Our proposed model considers the impact of media transmission and interpersonal relationships on opinion propagation. Our MI-SEIR model divides the propagation nodes into three categories: support, neutral and opposition. There is a discussion mechanism between these nodes that represents the node’s viewpoint value evolution rule based on the node firmness, influence of nodes, quality of media coverage and parameters of infection. The state transition of nodes is decided based on the change of opinion value. Our simulation experimental results show that this model is more representative of the real propagation of online public opinion and is thus of practical significance for research and opinion analysis applications.

scholarly journals EOM-NPOSESs: Emergency Ontology Model Based on Network Public Opinion Spread Elements

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guozhong Dong ◽  
Weizhe Zhang ◽  
Haowen Tan ◽  
Rahul Yadav ◽  
Shuaishuai Tan
Keyword(s):  
Decision Making ◽  
Public Opinion ◽  
Emergency Management ◽  
Data Sources ◽  
Semantic Relationship ◽  
The Public ◽  
Model Based ◽  
Ontology Model ◽  
Important Basis ◽  
Network Public Opinion

The construction of an emergency ontology model plays an important role in emergency management, which is an important basis for emergency public opinion management and decision-making. Integration of network public opinion spread elements into the emergency ontology model is crucial for realizing knowledge sharing in the field of emergency and public opinion responses. In this study, we crawl a large amount of emergency data from different data sources and construct an emergency dataset. Based on this dataset, we analyze the public opinion elements of emergencies and propose an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). Thereafter, we consider the coronavirus disease (COVID-19) emergency as an example to construct the EOM-NPOSESs. Finally, we design some strategies to realize rule reasoning and present the COVID-19 emergency application based on the constructed EOM-NPOSESs and the geographic information system platform. The results demonstrate that EOM-NPOSESs can not only describe the semantic relationship between emergencies and emergency elements but also perform semantic logical reasoning on different emergencies.

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