Parameter Identification and Dynamic Models of Socioeconomic Phenomena

Young, Jeffrey W.; Arnold, William F.; Brewer, John W.

doi:10.1109/tsmc.1972.4309155

Cited by 10 publications

(1 citation statement)

References 4 publications

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“…Therefore, it is important to conduct extensive research on the influence of media and interpersonal relationships on public opinion.In recent times, various models and simulation technologies have become available for the study of public opinion propagation. [3][4][5][6][7][8] Traditionally, the study of public opinion propagation was based on infectious disease models, such as SIS, SIR and SEIR models. [9][10][11] Wang explored the mechanisms of information propagation, including stifling, latent and forgetting mechanisms, to develop a refined SEIR model.…”

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

Zhang

Feng

Yang

2019

Int. J. Mod. Phys. B

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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.

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confidence: 99%

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

Zhang

Feng

Yang

2019

Int. J. Mod. Phys. B

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System simulation on system dynamics

Day¹

1974

Syst. Res.

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This paper presents an exegesis of Forrester's system dynamics using conventional mathematical concepts and briefly reviews its advantages and disadvantages. First, Solow's well-known economic growth model is translated into Forrester's language. Next, the general mathematical structure of all Forrester-type models is spelled out. Three constructive suggestions are made for augmenting the methodology. These involve improved numerical integration methods, numerical control theory techniques and a parameter saving, flexible class of smooth functions for representing nonlinear relationships. Then the best known of the Forrester-type models, World 2, is discussed brieflv from the point of view develooed here. CX?)

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Hierarchical system identification of models for urban dynamics

Smith

Sage²

1973

Socio-Economic Planning Sciences

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Parameter Identification and Dynamic Models of Socioeconomic Phenomena

Cited by 10 publications

References 4 publications

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

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

System simulation on system dynamics

Hierarchical system identification of models for urban dynamics

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