Synergistic effects of self-optimization and imitation rules on the evolution of cooperation in the investor sharing game

Liu, Cong; Xu, Hedong; Fan, Shuxiang

doi:10.1016/j.amc.2019.124922

Cited by 8 publications

(5 citation statements)

References 79 publications

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“…When mobile social networks promote enterprises' innovative products, users' positive actions and comments will make enterprises' innovative products seem more favorable to other users. However, unanimous praise can generate doubts and resistance among users, as this seems inconsistent with reality [24,25]. erefore, negative comments are typical on most social platforms.…”

Section: User Information Behavior In the Promotion Of Innovativementioning

confidence: 99%

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Liu

Guo

et al. 2022

Mathematical Problems in Engineering

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User information behavior is an important factor affecting the promotion effect of enterprises’ innovative products on mobile social networks. To provide insights as to how enterprises can better promote innovative products, this paper conducts a quantitative study of its internal function. We introduce a network evolutionary game model based on the Bass model, first to describe the background of the mobile social network, then to simulate the diffusion process of the social network and the user’s decision-making game behavior during promotion of enterprises’ innovative products, and finally to simulate the promotion effect on innovative products and solve for the conditions for the best innovative product marketing effect and the model are simulated from multiple angles. Our simulation results show that mobile social network marketing in the initial stage of product promotion has a significant impact on the promotion effect of innovative products. When user feedback is poor, advertisement diffusion has an obvious effect on product promotion. In mobile social networks, the proportion of positive feedback from users has a greater impact on the product promotion effect, while the proportion of negative feedback has a smaller impact on the product promotion effect. The impact of negative reviews is time sensitive. According to the simulation results, we propose several suggestions to improve the promotion effect of enterprises’ innovative products on mobile social networks.

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Section: User Information Behavior In the Promotion Of Innovativementioning

confidence: 99%

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Liu

Guo

et al. 2022

Mathematical Problems in Engineering

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“…While physical objects are constrained to three or fewer dimensions, the dimensions of social, technological, biological and other networks span a wide spectrum [5] , [6] , [7] . A proper understanding of dynamical network phenomena, such as random walks [8] , [9] , synchronization and consensus [10] , [11] , [12] , [13] , heat conduction [14] , [15] , information dissemination [16] , [17] , [18] , [19] , [20] , [21] , competition and cooperation [22] , [23] , [24] , [25] and the spread of rumours [26] , [27] , opinions [28] and diseases [29] , [30] , [31] , [32] , [33] , [34] , [35] including the ongoing COVID-19 pandemic [36] , [37] , requires assessment of the process across a broad range of dimensions and other network properties. This requires the development and application of flexible higher-dimensional network models.…”

Section: Introductionmentioning

confidence: 99%

Epidemic dynamics on higher-dimensional small world networks

Wang

Moore

Small

et al. 2022

Applied Mathematics and Computation

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Dimension governs dynamical processes on networks. The social and technological networks which we encounter in everyday life span a wide range of dimensions, but studies of spreading on finite-dimensional networks are usually restricted to one or two dimensions. To facilitate investigation of the impact of dimension on spreading processes, we define a flexible higher-dimensional small world network model and characterize the dependence of its structural properties on dimension. Subsequently, we derive mean field, pair approximation, intertwined continuous Markov chain and probabilistic discrete Markov chain models of a COVID-19-inspired susceptible-exposed-infected-removed (SEIR) epidemic process with quarantine and isolation strategies, and for each model identify the basic reproduction number , which determines whether an introduced infinitesimal level of infection in an initially susceptible population will shrink or grow. We apply these four continuous state models, together with discrete state Monte Carlo simulations, to analyse how spreading varies with model parameters. Both network properties and the outcome of Monte Carlo simulations vary substantially with dimension or rewiring rate, but predictions of continuous state models change only slightly. A different trend appears for epidemic model parameters: as these vary, the outcomes of Monte Carlo change less than those of continuous state methods. Furthermore, under a wide range of conditions, the four continuous state approximations present similar deviations from the outcome of Monte Carlo simulations. This bias is usually least when using the pair approximation model, varies only slightly with network size, and decreases with dimension or rewiring rate. Finally, we characterize the discrepancies between Monte Carlo and continuous state models by simultaneously considering network efficiency and network size.

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“…Notably, some studies combined different strategy updating rules with individual characteristics [34][35][36][37][38][39]. Xu et al [34] proposed a mixed dynamic model in which an individual adopts either imitation or aspiration update rule with a specified probability.…”

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confidence: 99%

“…Lin et al [38] introduced a novel strategy updating rule coupling the payoff-driven and conformity-driven update rules in a multiplication approach. Li et al [39] proposed a payoff ranking-based dynamic strategy updating mechanism, which includes three rules of local optima, imitation rule and self-optimization.…”

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confidence: 99%

Evolution of cooperation in prisoner's dilemma game under the coupling of aspiration and imitation rules

Wang¹,

Liu²,

Fan³

2021

EPL

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Considering the important roles played by aspiration and imitation rules, we explore how cooperation evolves in the spatial prisoner’s dilemma game. In detail, the strategy updating rule couples the inner aspiration payoﬀ and the external neighbors payoﬀ through the parameter α. Intriguingly, we ﬁnd that there exists an optimal value of α leading to the highest density of cooperators for each aspiration level A. By analyzing the dynamical strategy changes of system, we ﬁnd that an optimal α helps individuals form cooperator clusters and curbs the further spread of high-payoﬀ defectors, and thus improves the density of cooperators. Moreover, when 0.1≤A≤0.5, the optimal value of α, which leads to the highest density of cooperators, decreases with A, the optimal range of α gradually expands and the highest cooperation level is on the rise.

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Synergistic effects of self-optimization and imitation rules on the evolution of cooperation in the investor sharing game

Cited by 8 publications

References 79 publications

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

The Influence of the Network Evolutionary Game Model of User Information Behavior on Enterprise Innovation Product Promotion Based on Mobile Social Network Marketing Perspective

Epidemic dynamics on higher-dimensional small world networks

Evolution of cooperation in prisoner's dilemma game under the coupling of aspiration and imitation rules

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