Knowledge transmission model with consideration of self-learning mechanism in complex networks

Wang, Haiying; Wang, Jun; Ding, Liting; Wei, Wei

doi:10.1016/j.amc.2017.01.020

Cited by 41 publications

(18 citation statements)

References 35 publications

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“…Based on the existing epidemic models, Li et al [43] consider the influence of individual forgetting ability and leader's inspiration ability on the dynamic mechanism of knowledge sharing diffusion. By constructing knowledge diffusion mechanism with self-learning ability, Wang et al [44] discuss its evolutionary effect in complex network structure. Zhu and Ma [45] propose a knowledge sharing model considering time-varying information channels and investigated the knowledge evolution in different network structures.…”

Section: Knowledge Sharing Behavior Among Enterprisesmentioning

confidence: 99%

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Kong

Zhu

2019

Sustainability

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Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

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Section: Knowledge Sharing Behavior Among Enterprisesmentioning

confidence: 99%

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Kong

Zhu

2019

Sustainability

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“…According to the classical theory of epidemic dynamics, many scholars progressively apply and extend compartmental epidemic models to research transmission dynamics in a diverse range of fields [ 10 – 15 ]. In recent years, due to the nonuniformity of spread in a population, the thought of classification for susceptible, infected or other state groups is embedded in the modeling of propagation phenomena in Refs.…”

Section: Introductionmentioning

confidence: 99%

Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks

Guan

Guo

2021

Nonlinear Dyn

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Taking two susceptible groups into account, we formulate a modified subhealthy-healthy-infected-recovered (SHIR) model with time delay and nonlinear incidence rate in networks with different topologies. Concretely, two dynamical systems are designed in homogeneous and heterogeneous networks by utilizing mean field equations. Based on the next-generation matrix and the existence of a positive equilibrium point, we derive the basic reproduction numbers and which depend on the model parameters and network structure. In virtue of linearized systems and Lyapunov functions, the local and global stabilities of the disease-free equilibrium points are, respectively, analyzed when in homogeneous networks and in heterogeneous networks. Besides, we demonstrate that the endemic equilibrium point is locally asymptotically stable in homogeneous networks in the condition of . Finally, numerical simulations are performed to conduct sensitivity analysis and confirm theoretical results. Moreover, some conjectures are proposed to complement dynamical behavior of two systems.

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“…According to statistics from third-party institutions, nearly 50% -60% of college students pay consistent attention to WeChat public platforms. The results of a survey revealed that the WeChat public platforms that college students pay attention to mainly involve current affairs and news, gossip and commentary, travel and cuisine, and so forth (Wang, Wang, Ding, & Wei, 2017). There are significant differences between college students' response to types of WeChat tweets, which are mainly manifested in core indicators such as the degree of recognition, the degree of acceptance, and comprehensive influence (Zhu, Zhang, & Jin, 2016).…”

Section: Introductionmentioning

confidence: 99%

An Empirical Analysis of Public WeChat Accounts at a University Based on the WCI Algorithm

Yang¹,

He²

2020

OJBM

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This paper takes WeChat propagation index as the research parameter and uses the WCI specific algorithm to analyze. The analysis samples are five highly popular public WeChat accounts at the Central University of Finance and Economics. The top 50 articles with a reading index and thumbs-up rate in official WeChat accounts were selected as analysis objects. The researcher conducted a detailed analysis of the source, type, form, and release time of highly popular tweets to provide an empirical basis for the smooth development of college students' network education.

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Knowledge transmission model with consideration of self-learning mechanism in complex networks

Cited by 41 publications

References 35 publications

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Stability behavior of a two-susceptibility SHIR epidemic model with time delay in complex networks

An Empirical Analysis of Public WeChat Accounts at a University Based on the WCI Algorithm

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