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Opinion leaders' detection in dynamic social networks
Concurrency and Computation: Practice and Experience, 2020Summary Social media networks have revolutionized the way users interact and express their opinion. Obviously, identifying opinion leaders has a widespread applicability. For instance, by detecting leaders, companies can manipulate the public opinion.
Wided Oueslati +3 more
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Opinion Dynamics Control in a Social Network with a Communication Structure
Dynamic Games and Applications, 2021This paper studies opinion dynamics control in a social network with a communication structure and assesses the influence of control on the final opinions. The model of opinions control is established in a social network with one and several players. Optimal control is calculated for the model with one player and identical agents in a social network ...
Hui Jiang +3 more
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Opinion dynamics in social networks
SCIENTIA SINICA Informationis, 2018In recent years, research in opinion dynamics has received a great amount of attention in the field of systems and control. Opinion dynamics studies the spreading of opinions and the evolution of behaviors in social networks by utilizing mathematical and physical models, the agent-based computational modeling tools and dynamical systems theories. Here,
Jinming DU, Ye TIAN, Long WANG
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Role of conformity in opinion dynamics in social networks
Proceedings of the second ACM conference on Online social networks, 2014Social networks serve as important platforms for users to express, exchange and form opinions on various topics. Several opinion dynamics models have been proposed to characterize how a user iteratively updates her expressed opinion based on her innate opinion and the opinion of her neighbors.
Abhimanyu Das +3 more
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Opinion Dynamics in Social Networks with Heterogeneous Markovian Agents
2018 IEEE Conference on Decision and Control (CDC), 2018This paper analyzes a stochastic model for opinion dynamics in social networks. The change of opinion of each agent in the network is modeled by a finite-state Markov chain whose transition rate matrix is affected by the current opinion of the neighboring agents.
P. Bolzern, P. Colaneri, G. De Nicolao
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Generalized opinion dynamics model for social trust networks
Journal of Combinatorial Optimization, 2022This paper studies generalized opinion dynamics model for social trust networks. A generalized opinion model is developed to calculate individual's expressed opinion and solve specific problems in opinion maximization including the internal opinion problem and the expressed opinion problem.
Changxiang He +3 more
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Dynamics of Uncertain and Conflicting Opinions in Social Networks
IEEE Transactions on Computational Social Systems, 2018In this paper, we study the evolution of opinions where people are not sure of their own opinions and/or their opinions may be conflicting to others’ in social networks. We model two types of agents so-called informed agents (IAs) and uninformed agents (UIAs).
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On the control of opinion dynamics in social networks
Physica A: Statistical Mechanics and its Applications, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Zhihong +5 more
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Interaction-driven opinion dynamics in online social networks
Proceedings of the First Workshop on Social Media Analytics, 2010Online social networks provide a globally available, massive-scale infrastructure for people to exchange information and ideas. A topic of great interest in social networks research is how to model this information exchange and, in particular, how to model and analyze the effects of interpersonal influence on processes such as information diffusion ...
Stacy Patterson, Bassam Bamieh
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SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks
2017 IEEE International Conference on Data Mining (ICDM), 2017Online Social Networks (OSNs) have emerged as a global media for forming and shaping opinions on a broad spectrum of topics like politics, e-commerce, sports, etc. So, research on understanding and predicting opinion dynamics in OSNs, especially using a tractable linear model, has abound in literature.
Bhushan Kulkarni +4 more
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