Modeling the process of shaping the public opinion through Multilevel Fuzzy Cognitive Maps

Sánchez, Hebert; Aguilar, José; Terán, Oswaldo; Mesa, José Gutierrez de

doi:10.1016/j.asoc.2019.105756

Cited by 27 publications

(8 citation statements)

References 24 publications

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“…Aguilar (2016) and Sánchez et al. (2019) use weight to measure the correlation between nodes at different levels, but the method of determining the weight is not clear.…”

Section: Mfcm Model Of Policy Diffusion In Gppsmentioning

confidence: 99%

Research on policy diffusion mechanism of Government Procurement of Public Services based on an MFCM

Zhang

2022

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PurposeThe purpose of this paper is to show that research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation.Design/methodology/approachIn view of the four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of the MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers, respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on the MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy.FindingsResearch results show that, compared with monolayer Fuzzy Cognitive Map, the MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.Originality/valueThis paper constructs the MFCM model, which is a new approach based on several monolayer FCMs, to study the policy diffusion mechanism.

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“…Aguilar (2016) and Sánchez et al. (2019) use weight to measure the correlation between nodes at different levels, but the method of determining the weight is not clear.…”

Section: Mfcm Model Of Policy Diffusion In Gppsmentioning

confidence: 99%

Research on policy diffusion mechanism of Government Procurement of Public Services based on an MFCM

Zhang

2022

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“…The second aspect includes considerable research based on mathematical models (Sánchez et al , 2019; Wang et al , 2019b; Zhao et al , 2016). To analyse the characteristics of the dissemination law of Internet public opinion on emergencies, most scholars have used the information dissemination model-epidemic model SIR (Susceptible Infected Recovered Model) and its optimisation model.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing college students’ behaviours of spreading internet public opinions on emergencies in universities

Liu

2021

IDD

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Purpose This study aims to explore the influencing factors on college students’ behaviours of spreading Internet public opinion on emergencies in colleges and universities. This study provides a reference for these institutions to cope with and reduce the influence of Internet public opinion on emergencies and maintain their normal teaching order. Design/methodology/approach In this study, a research model by using motivation theory and design a questionnaire on the basis of relevant literature are constructed. This paper surveys college students and collects a total of 317 valid questionnaires. On the basis of the reliability and validity of the questionnaire, this study verifies the proposed model by using Smart PLS. Findings The results show that social motivation and information source preference have significant positive influences on college students’ willingness to spread Internet public opinion on emergencies in colleges and universities. Moreover, information source preference has a significant moderating effect on the relationship between social motivation and dissemination willingness. If college students’ information source preference is high, then the moderating effect is significant. The extent of college students’ interaction and involvement has a significantly positive influence on their trust in the dissemination platform for Internet public opinion on emergencies in colleges and universities. Egoism has a significantly positive influence on the social motivation of college students to spread Internet public opinion on emergencies in colleges and universities. Involvement degree has a significant moderating effect on the relationship between social motivation and trust. If college students’ involvement degree is low, then the moderating effect is significant. Thus, when the involvement of college students in Internet public opinion on emergencies in colleges and universities is low, the influence of social motivation on trust is great. Originality/value This study increases the influencing factors in the literature on Internet public opinion, enriches the research theory of Internet public opinion on emergencies in colleges and universities and expands the application scope of the theory of social motivation. The conclusion provides guidance for colleges and students to govern Internet public opinion on emergencies and improve the ability of these institutions in dealing with Internet public opinion on emergencies.

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“…e events usually are interrupted or persist with the same label, the same subject, the same category, or the same segment sequence events. Media agenda-setting, general preferences of netizens, and other factors promote public opinion events to "mass production" and "similar reproduction" in the short term [2,3]. e association superposition will serialize and centralize issues and then generate new hotspots.…”

Section: Literature Reviewmentioning

confidence: 99%

Topic Relevance of Public Health Emergencies Influence on Internet Public Opinion Resonance: Simulation Based on Langevin’s Equation

Cheng

Zhang

2021

Mathematical Problems in Engineering

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Public health emergencies occurred frequently, which usually result in the negative Internet public opinion events. In the complex network information ecological environment, multiple public opinion events may be aggregated to generate public opinion resonance due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions. In order to reveal the phenomenon and regulations of the public opinion resonance, we firstly analyze the influence factors of the Internet public opinion events in the public health emergencies. Then, based on Langevin’s equation, we propose the Internet public opinion stochastic resonance model considering the topic relevance. Furthermore, three exact public health emergencies in China are provided to reveal the regulations of evoked events “revival” caused by original events. We observe that the Langevin stochastic resonance model considering topic relevance can effectively reveal the resonance phenomenon of Internet public opinion caused by public health emergencies. For the original model without considering the topic relevance, the new model is more sensitive. Meanwhile, it is found that the degree of topic relevance between public health emergencies has a significant positive correlation with the intensity of Internet public opinion resonance.

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Modeling the process of shaping the public opinion through Multilevel Fuzzy Cognitive Maps

Cited by 27 publications

References 24 publications

Research on policy diffusion mechanism of Government Procurement of Public Services based on an MFCM

Research on policy diffusion mechanism of Government Procurement of Public Services based on an MFCM

Factors influencing college students’ behaviours of spreading internet public opinions on emergencies in universities

Topic Relevance of Public Health Emergencies Influence on Internet Public Opinion Resonance: Simulation Based on Langevin’s Equation

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