Opinion dynamics with emergent collective memory: The impact of a long and heterogeneous news history

Boschi, Gioia; Cammarota, Chiara; Kühn, Reimer

doi:10.1016/j.physa.2021.125799

Cited by 5 publications

(2 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examples include studying how social media and human behavior jointly influence the spread of infectious diseases through an epidemic model [1], dividing social trust into a continuous range to study how business reputation of firms can be improved in business networks [2], or introducing game theory and treating public opinion as a continuous interval within [0,1], and discussing the conformity and manipulation behavior of agents in realistic opinion networks and studying agent voting choices [3][4][5][6]. Hence, the study of the spread mechanism of group opinions can clarify various political, economic, and management phenomena, including popularity, the existence of minority opinions, consistency and diversity, and the leading role of the government [7][8][9][10][11][12][13][14]. To date, various studies of dynamics of opinion evolution have been reported.…”

Section: Literature Reviewmentioning

confidence: 99%

The Public Opinion Evolution under Group Interaction in Different Information Features

et al. 2022

View full text Add to dashboard Cite

Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the opinion evolution in the entire network. This process also causes the similar status quo. In this study, we find that the key figures play the guiding roles in public opinions who undertake the group pressure from information amount. Therefore, we build the cost function on opinion changes to study opinion evolution rules for public persons based on the spreading scope of information and information amount. Simulation analysis reveals that the information amount held by agents will affect the converging speed of public opinions, while enhancing the ability of key nodes may no more effective in guiding public opinion.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

The Public Opinion Evolution under Group Interaction in Different Information Features

et al. 2022

View full text Add to dashboard Cite

show abstract

“…On the other hand, they are be more likely to disagree with others in the case of a history of predominant recent disagreement. This mechanism gives rise to a collective memory effect by which a society can remember past configurations of opinions [10].…”

Section: Introductionmentioning

confidence: 99%

Impact of memory and bias in kinetic exchange opinion models on random networks

Oestereich,

Crokidakis,

Cajueiro

2022

Preprint

View full text Add to dashboard Cite

In this work we consider the effects of memory and bias in kinetic exchange opinion models. We propose a model in which agents remember the sign of their last interaction with each one of their pairs. This introduces memory effects in the model, since past interactions can affect future ones. We have also considered the impact of a parameter p that regulates how often an agent changes its interaction to match its opinion, thus introducing bias in the interactions. For high values of p an agent is more likely to start having a negative interaction with an agent of opposing opinion and a positive interaction with an agent of the same opinion. The model is defined on the top of random networks with mean connectivity k . We analyze the impact of both p and k on the emergence of ordered and disordered states in the population. Our results suggest a rich phenomenology regarding critical phenomena, with the presence of metastable states and a non-monotonic behavior of the order parameter. We show that the fraction of neutral agents in the disordered state decreases as the bias p increases.

show abstract

Opinion formation over dynamic hierarchical networks with acquaintances and strangers: A genetic variation based double-mechanism framework

Dong,

Hu,

Zhao

et al. 2024

Applied Soft Computing

View full text Add to dashboard Cite

Opinion dynamics with emergent collective memory: The impact of a long and heterogeneous news history

Cited by 5 publications

References 39 publications

The Public Opinion Evolution under Group Interaction in Different Information Features

The Public Opinion Evolution under Group Interaction in Different Information Features

Impact of memory and bias in kinetic exchange opinion models on random networks

Opinion formation over dynamic hierarchical networks with acquaintances and strangers: A genetic variation based double-mechanism framework

Contact Info

Product

Resources

About