Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies

Hassani, Hossein; Razavi–Far, Roozbeh; Saif, Mehrdad; Chiclana, Francisco; Krejcar, Ondřej; Herrera‐Viedma, Enrique

doi:10.1016/j.inffus.2022.07.003

Cited by 35 publications

(3 citation statements)

References 191 publications

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“…Insightful presentations of the main opinion dynamics models and basic theory can be found in [10] and [11]. A comprehensive survey on modeling and analysis of dynamic social networks was carried out in [12], [13] and, more recently, [14] discusses recent trends and future challenges.…”

Section: Introductionmentioning

confidence: 99%

Opinion Dynamic Games Under One Step Ahead Optimal Control

Gentil,

Bhaya

2024

IEEE Trans. Comput. Soc. Syst.

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This paper generalizes two recently proposed opinion dynamics models with control. The generalized model is made up of a standard model of agents interacting with each other, to which affine controls are added. The controls, influencing the opinions of agents, are exercised by entities called players, who specify targets, possibly conflicting, for agents. Three play procedures, sequential, parallel, and asynchronous are defined. Each player has knowledge of the current state of all agents, but no other information about the other players. We design the player controls using one step ahead optimization leading to the following novel results: easily computable controls for each player only dependent on its own information; conditions for convergence to the Nash equilibrium, and formulas for the latter.

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Section: Introductionmentioning

confidence: 99%

Opinion Dynamic Games Under One Step Ahead Optimal Control

Gentil,

Bhaya

2024

IEEE Trans. Comput. Soc. Syst.

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“…These studies focus on how to efficiently improve network synchronizability via pinning control, ignoring the possibility of external interference or confrontation in the pinning scheme. Taking the reaching consensus of group views as an example, it may be evident that there is one party who wants to achieve consensus through control opinion dynamics, and there are also some people who want to interfere with the achievement of the corresponding consensus [26]. Game theory provides a suitable modeling framework for describing the above attack-defense confrontation scenario [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Network Synchronization via Pinning Control from an Attacker-Defender Game Perspective

Pei,

Zhang,

Zhang

et al. 2024

Mathematics

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The pinning control of complex networks is a hot topic of research in network science. However, most studies on pinning control ignore the impact of external interference on actual control strategies. To more comprehensively evaluate network synchronizability via pinning control in the attack–defense confrontation scenario, the paper constructs an attacker-defender game model. In the model, the attacker needs to control nodes in the network as much as possible. The defender will do their best to interfere with the attacker’s control of the network. Through a series of experiments, we find that the random attack strategy is always the dominant strategy of the attacker in various equilibriums. On the other hand, the defender needs to constantly change dominant strategy in equilibrium according to the set of defense strategies and cost constraints. In addition, scale-free networks with different network metrics can also influence the payoff matrix of the game. In particular, the average degree of the network has an obvious impact on the attacker’s payoff. Moreover, we further verify the correctness of the proposed attacker-defender game through a simulation based on the specific network synchronization dynamics. Finally, we conduct a sensitivity analysis in different network structures, such as the WS small-world network, the ER random network, and the Google network, to comprehensively evaluate the performance of the model.

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“…---Table 1 about here. ---Some researchers have used agent-based diffusion models to examine internal attitudes and external pressures in product adoption decisions [15][16][17], as well as when designing customizable simulation models capable of meeting the requirements of individual environments . However, almost all of these models suffer from the drawback of fixed agent attitudes toward products or concepts, regardless of agent interaction content or duration.…”

Section: Introductionmentioning

confidence: 99%

Multiagent Diffusion and Opinion Dynamics Model Interaction Effects on Controversial Products

2022

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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 for product information diffusion. These factors have been the focus of marketing, investment and other studies for many years, most recently in computer information science. Researchers are especially motivated to understand diffusion processes for new technologies and controversial products within and across social networks. While many product diffusion simulation models have been proposed, most suffer from assumptions of unchanging internal agent attitudes toward products, no opinion exchanges between agents, and non-significant relationships between agent internal opinion attitudes and diffusion thresholds. In this paper we propose an opinion dynamics model that assumes both agent interaction and changes in agent attitudes over time. Social psychology theory is used to explain interactions between opinion and diffusion dynamics, with changing agent attitudes and behaviors affected by interpersonal relationship factors. Simulations were used to study dynamic diffusion processes involving controversial products (e.g., vaccines and genetically modified foods) in different social networks. Results indicate that the proposed model accurately reflects several kinds of social phenomena, including pioneer influences, rural marketing strategies, and the influence of social network structure. This effort to identify instances of product diffusion under various social conditions is offered in support of research in communication dynamics and social media-centered marketing strategies.

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Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies

Cited by 35 publications

References 191 publications

Opinion Dynamic Games Under One Step Ahead Optimal Control

Opinion Dynamic Games Under One Step Ahead Optimal Control

Network Synchronization via Pinning Control from an Attacker-Defender Game Perspective

Multiagent Diffusion and Opinion Dynamics Model Interaction Effects on Controversial Products

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