scholarly journals A New Network Feature Affects the Intervention Performance on Public Opinion Dynamic Networks

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Caiyun Wang ◽  
Huawei Han ◽  
Jing Han
Keyword(s):  
Public Opinion ◽  
Dynamic Networks ◽  
Network Feature ◽  
Opinion Dynamic

An online multi-dimensional opinion dynamic model with misinformation diffusion in emergency events

2021 ◽  
pp. 016555152097743
Author(s):  
Mengmeng Liu ◽  
Lili Rong
Keyword(s):  
Public Opinion ◽  
Dynamic Model ◽  
Online Social Networks ◽  
Information Diffusion ◽  
Online Communication ◽  
Opinion Dynamics ◽  
Opinion Formation ◽  
Early Results ◽  
Emergency Events ◽  
Opinion Dynamic

Multiple opinions, including many that are negative, are produced in emergency events. These opinions are commonly formed asynchronously based on misinformation. However, most researches on opinion dynamics involving information neglect the asynchronous process of initial opinion formation due to information diffusion. Since online social networks like Sina Weibo act as major avenues for the expression, after analysing online behaviours, an opinion dynamic model is developed with consideration of misinformation diffusion of public opinion. In this model, schemes are developed for opinion interactions in multiple dimensions by introducing characteristics of online communication as another way of opinion interactions besides communication between neighbours. Subsequently, we investigate the impacts of network structure, diffusion rate, repost rate and other factors, which provide insights into understanding online opinion dynamics during emergency events. Furthermore, we conduct simulations to determine the intervention effects of different official responses. Results show that removing comments compulsively exhibits better performance in reducing negative opinion as well as increasing the density of Spreaders. Debunking misinformation by posting early results officially which indicates the probability of the existence of misinformation may lead public opinion in time if it takes a long time to finally confirm the misinformation.

scholarly journals Public Opinion Evolution Based on Complex Networks

2015 ◽  
Vol 15 (1) ◽  
pp. 55-68 ◽  
Author(s):  
Yeqing Zhao
Keyword(s):  
Public Opinion ◽  
Complex Networks ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Dynamic Networks ◽  
Evolutionary Process ◽  
Small World ◽  
The Public ◽  
Complex Agent ◽  
Complex Adaptive

Abstract The Sznajd model of sociophysics can describe the mechanism of making a decision in a closed community. The Complex Agent Networks (CAN) model is studied, based on the adaptability, autonomy and activity of the individuals, as well as the complex interactions of individuals in an open community for probing into evolution of the public opinion. With the help of the theory of complex adaptive systems and the methods of complex networks, the structure of agents, the dynamic networks scenarios and the evolutionary process of the agents are described. The simulation results of CAN model show that all individuals cannot reach a final consensus through mutual consultations when the small world networks rewiring probability p is less than a specified threshold. But when the rewiring probability p is larger than the given threshold, all individuals will eventually come to a finial consensus, and that the rewiring probability p increases, whereas the time of emergence of the public opinion will be significantly reduced. It is quite obvious that in real community the mass media and many other mechanisms have an effect on the evolutionary process of the public opinion.

Review of Reader in Public Opinion and communication.

1966 ◽  
Vol 11 (6) ◽  
pp. 316-316
Author(s):  
No authorship indicated
Keyword(s):  
Public Opinion
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