Opinion limits study for the multi-selection bounded confidence model. [PDF]
PLoS ONE, 2019 In this work, we study the opinion limit states for a generalized bounded confidence agent-based opinion model. Agents can select multiple opinions in the network, and the confidence bound is considered on the distance between the average of the selected
Jiangbo Zhang
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Modeling Misinformation Spread in a Bounded Confidence Model: A Simulation Study [PDF]
EntropyMisinformation has posed significant threats to all aspects of people’s lives. One of the most active areas of research in misinformation examines how individuals are misinformed.
Yujia Wu, Peng Guo
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Mass media impact on opinion evolution in biased digital environments: a bounded confidence model [PDF]
Scientific Reports, 2023 People increasingly shape their opinions by accessing and discussing content shared on social networking websites. These platforms contain a mixture of other users’ shared opinions and content from mainstream media sources.
Valentina Pansanella +3 more
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Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model. [PDF]
PLoS ONE, 2019 The flow of information reaching us via the online media platforms is optimized not by the information content or relevance but by popularity and proximity to the target. This is typically performed in order to maximise platform usage.
Alina Sîrbu +3 more
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Opinion Dynamics with Higher-Order Bounded Confidence
Entropy, 2022 The higher-order interactions in complex systems are gaining attention. Extending the classic bounded confidence model where an agent’s opinion update is the average opinion of its peers, this paper proposes a higher-order version of the bounded ...
Chaoqian Wang
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Weighted Beta Regression for Modeling Bounded Data [PDF]
EntropyA two-parameter weighted beta distribution is introduced for modeling bounded data, which has many similarities to the beta distribution. We propose a class of regression models where the response is weighted beta distributed and the two shape parameters
Marcelo Bourguignon +2 more
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Analysis of Opinion Evolution Based on Hegselmann–Krause Model with Historical Opinion [PDF]
EntropyIn realistic social networks, individuals are influenced not only by current interactions, but also by recent historical opinions, prior experience, and external guidance.
Yuqi Zhou, Junyao Sun
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Evacuation by leader-follower model with bounded confidence and predictive mechanisms [PDF]
Archives of Control Sciences, 2021 This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path.
Ricardo Almeida +4 more
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Entropy, 2022 In this work, we address the question of the role of the influence of group size on the emergence of various collective social phenomena, such as consensus, polarization and social hysteresis.
Maciej Doniec +2 more
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Bounded-confidence model of opinion dynamics with heterogeneous node-activity levels
Physical Review Research, 2023 Agent-based models of opinion dynamics allow one to examine the spread of opinions between entities and to study phenomena such as consensus, polarization, and fragmentation.
Grace J. Li, Mason A. Porter
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