Opinion dynamics in complex networks

Zhang, Wei; He, Mingsheng; Jin, Rui

doi:10.3952/physics.v53i4.2760

Cited by 3 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Continuous opinion dynamics models are considered more suitable for representing complex opinions [7]. The most popular continuous opinion spreading models are the Deffuant model and the Hegselmann-Krause (HK) model [8][9][10], also known as bounded confidence models. In these models, the confidence bound (also known as opinion threshold or tolerance) is the main factor that influences opinion consensus and drives stabilization [11].…”

Section: Introductionmentioning

confidence: 99%

Opinion Dynamics of Social-Similarity-Based Hegselmann–Krause Model

et al. 2017

View full text Add to dashboard Cite

The existing opinion dynamics models mainly concentrate on the impact of opinions on other opinions and ignore the effect of the social similarity between individuals. Social similarity between an individual and their neighbors will also affect their opinions in real life. Therefore, an opinion evolution model considering social similarity (social-similarity-based HK model, SSHK model for short) is introduced in this paper. Social similarity is calculated using individual properties and is used to measure the social relationship between individuals. By considering the joint effect of confidence bounds and social similarity in this model, the role of neighbors' selection is changed significantly in the process of the evolution of opinions. Numerical results demonstrate that the new model can not only obtain the salient features of the opinion result, namely, fragmentation, polarization, and consensus, but also achieve consensus more easily under the appropriate similarity threshold. In addition, the improved model with heterogeneous and homogeneous confidence bounds and similarity thresholds are also discussed. We found that the improved heterogeneous SSHK model could acquire opinion consensus results more easily than the homogeneous SSHK model and the classical models when the confidence bound was related to the similarity threshold. This finding provides a new way of thinking and a theoretical basis for the guidance of public opinion in real life.

show abstract

Section: Introductionmentioning

confidence: 99%

Opinion Dynamics of Social-Similarity-Based Hegselmann–Krause Model

et al. 2017

View full text Add to dashboard Cite

show abstract

Referential type opinion formation with fluctuating affinities on social network

Yano

2024

J. Stat. Mech.

View full text Add to dashboard Cite

The referential type opinion formation with the fluctuating affinities on the social network is investigated. The time evolution of the opinions is written by the DeGroot–Hegselmann–Krause type equation with the fluctuating weights (i.e. affinities). The time evolution of opinions obtained by such fluctuating affinities is calculated by changing the structure of the network. Finally, the stability of clusters of opinions depends on the balance between the mean value and the temperature, which define motions of the affinities.

show abstract

An Overview on Opinion Spreading Model

Liu¹,

Chen²

2015

JAMP

View full text Add to dashboard Cite

Research on opinion spreading has received more and more attention in recent years. This paper focus on make a summary of opinion evolution researches, we first review some classical opinion models, and then introduce the existing result of improvement models from the aspect of opinion space, model parameter, social network and so on. The current study's limitation and further research are also prospected at the end. By in-depth understand the opinion spreading mechanism so as to guide and control the public opinions, which is very useful and meaningful.

show abstract

Opinion dynamics in complex networks

Cited by 3 publications

References 33 publications

Opinion Dynamics of Social-Similarity-Based Hegselmann–Krause Model

Opinion Dynamics of Social-Similarity-Based Hegselmann–Krause Model

Referential type opinion formation with fluctuating affinities on social network

An Overview on Opinion Spreading Model

Contact Info

Product

Resources

About