Results 11 to 20 of about 17,819,094 (291)
Opinion Dynamics and Learning in Social Networks [PDF]
Dynamic Games and Applications, 2010 We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs.
Acemoglu, Daron, Ozdaglar, Asuman
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Reasoning about opinion dynamics in social networks
Journal of Logic and Computation, 2015 AbstractThis article introduces a logic to reason about a well-known model of opinion dynamics in social networks initially developed by Morris DeGroot as well as Keith Lehrer and Carl Wagner. The proposed logic is an extension of Łukasiewicz' fuzzy logic with additional equational expressivity, modal operators, machinery from hybrid logic and dynamic ...
Hansen, Jens Ulrik,, Lund University.
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Steering opinion dynamics through control of social networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear ScienceIn this paper, we propose a novel control approach for opinion dynamics on evolving networks. The controls modify the strength of connections in the network, rather than influencing opinions directly, with the overall goal of steering the population toward a target opinion.
A. Nugent, S. N. Gomes, M. T. Wolfram
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Binary Opinion Models of Influence and Opinion Dynamics in Social Networks
Part 1: Invited PapersInternational audienceThe process of influence and opinion dynamics is predominant in many kinds of real-life situations involving agents’ interactions.
Agnieszka Rusinowska, Michel Grabisch
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Asynchronous Opinion Dynamics in Social Networks
International Joint Conference on Autonomous Agents and Multiagent Systems, 2022 Opinion spreading in a society decides the fate of elections, the success of products, and the impact of political or social movements. The model by Hegselmann and Krause is a well-known theoretical model to study such opinion formation processes in social networks.
Petra Berenbrink +5 more
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Evolution of social power for opinion dynamics networks [PDF]
2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2017 This article studies the evolution of opinions and interpersonal influence structures in a group of agents as they discuss a sequence of issues, each of which follows an opinion dynamics model. In this work, we propose a general opinion dynamics model and an evolution of interpersonal influence structures based on the model of reflected appraisals ...
Susana Iglesias Rey +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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Multiagent Diffusion and Opinion Dynamics Model Interaction Effects on Controversial Products
IEEE Access, 2022 When controversial products are introduced, effective promotion efforts and eventual public acceptance require consideration of multiple factors such as existing social network structures, numbers of pioneers and their locations, and appropriate methods ...
Sheng-Wen Wang +2 more
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Opinion Dynamics on Correlated Subjects in Social Networks [PDF]
IEEE Transactions on Network Science and Engineering, 2020 Understanding the evolution of collective beliefs is of critical importance to get insights on the political trends as well as on social tastes and opinions. In particular, it is pivotal to develop analytical models that can predict the beliefs dynamics and capture the interdependence of opinions on different subjects.
Alessandro Nordio +3 more
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Network Opinion Evolution Model Incorporating the Influence of Media Heterogeneity
IEEE Access, 2020 Opinion dynamics is the basic research content of social network research. Traditional opinion dynamics models focus on the heterogeneity of regular users, but ignore the heterogeneity of media users in social networks.
Guixun Luo +3 more
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