scholarly journals Consensus and Disagreement: The Role of Quantized Behaviors in Opinion Dynamics

2018 ◽  
Vol 56 (2) ◽  
pp. 1058-1080 ◽  
Author(s):  
Francesca Ceragioli ◽  
Paolo Frasca
Keyword(s):  
1992 ◽  
Vol 35 (4) ◽  
pp. 705-720 ◽  
Author(s):  
Terri Susan Fine

This paper explores African American opinion toward equal opportunity issues using a demographic-attitudinal focus. Previous explorations have focused on black-white opinion comparisons. In this analysis, attitudinal forces, particularly core values, are identified as playing an influential role in policy support. Further, these patterns of values tend to reflect those expressed by whites on similar questions: the more individualistic and conservative one is, the less likely one is to support government intervention on African Americans behalf. In responding to questions concerning governmental responsibility, higher SES African Americans express stronger support than do their lower SES counterparts. This finding suggests that those who are experiencing “glass ceilings” are concerned about government guarantees of equal opportunity, despite their individualistic beliefs. This is inconsistent with previous explorations that analyze these beliefs among disadvantaged populations. The implications of social changes in the African American community and the impact of these changes on opinion dynamics are discussed.


2007 ◽  
Vol 18 (10) ◽  
pp. 1583-1590 ◽  
Author(s):  
LONG GUO ◽  
XU CAI

Around us, the society structure and external field, such as government policy, the newspaper, the internet and other mass media, play a special role in shaping the attitudes, beliefs and public opinion. For studying the role of the society structure and the external field, we propose a new opinion model based on the former models. With computer simulations of opinion dynamics, we find that the smaller the clustering coefficient and the society size, the easier the consensus phase is reached and other interesting results.


2016 ◽  
Vol 4 (2) ◽  
pp. 216-243 ◽  
Author(s):  
MANUEL FÖRSTER ◽  
ANA MAULEON ◽  
VINCENT J. VANNETELBOSCH

AbstractWe investigate the role of manipulation in boundedly rational opinion dynamics. Agents are subject to persuasion bias and repeatedly communicate with their neighbors in a social network. They can exert effort to manipulate trust in the opinions of others in their favor and update their opinions about some issue of common interest by taking weighted averages of neighbors' opinions. We show that manipulation can connect a segregated society and thus lead to mutual consensus. Second, we show that manipulation fosters opinion leadership; and surprisingly agents with low trust in their own opinion might get more influential even by being manipulated. Finally, comparative simulations reveal that manipulation is beneficial to information aggregation when preferences and abilities for manipulation are homogeneous, but detrimental in case abilities are concentrated at few powerful agents.


2013 ◽  
Vol 151 (1-2) ◽  
pp. 203-217 ◽  
Author(s):  
Colin J. Torney ◽  
Simon A. Levin ◽  
Iain D. Couzin

Entropy ◽  
2022 ◽  
Vol 24 (1) ◽  
pp. 105
Author(s):  
Robert Jankowski ◽  
Anna Chmiel

Modelling the epidemic’s spread on multiplex networks, considering complex human behaviours, has recently gained the attention of many scientists. In this work, we study the interplay between epidemic spreading and opinion dynamics on multiplex networks. An agent in the epidemic layer could remain in one of five distinct states, resulting in the SIRQD model. The agent’s attitude towards respecting the restrictions of the pandemic plays a crucial role in its prevalence. In our model, the agent’s point of view could be altered by either conformism mechanism, social pressure, or independent actions. As the underlying opinion model, we leverage the q-voter model. The entire system constitutes a coupled opinion–dynamic model where two distinct processes occur. The question arises of how to properly align these dynamics, i.e., whether they should possess equal or disparate timescales. This paper highlights the impact of different timescales of opinion dynamics on epidemic spreading, focusing on the time and the infection’s peak.


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