A novel negative feedback information dissemination model based on online social network

Liu, Xiaoyang; He, Daobing; Yang, Linfeng; Liu, Chao

doi:10.1016/j.physa.2018.09.032

Cited by 23 publications

(12 citation statements)

References 28 publications

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“…describe the cumulative percentage of tasks that are defined by the cloud provider when the diversity is and the actual execution proportion of the use strategy adopted by the cloud provider is, where the function is proposed by Gebauer and Schober [2], and the curve is time-convex, per the requirements of the Lorenz coefficient curve, and is used to describe the Lorenz curve. It indicates the corresponding relationship between the cumulative percentage of defined tasks and the cumulative percentage of actual tasks performed, and the parameter vð 0 ≤ v ≤ 1Þ indicates the degree of curvature of the curve.…”

Section: Computational Model For Flexible Cost Input Of Cloud-native mentioning

confidence: 99%

“…i: represents the annual average interest rate T: represents the planned life cycle of the cloud-native architecture DC = ðð1 + iÞ T − 1Þ/ðið1 + iÞ T TÞ: it is proposed by Gebauer and Schober [2] to represent the average discount rate of equivalent cash flow in the lifecycle of a cloud-native architecture z: is a binary number to ensure that Equation (4) is meaningful and that the following conditions are met:…”

Section: Computational Model For Flexible Cost Input Of Cloud-native mentioning

confidence: 99%

“…The temporary influx of many businesses has brought huge challenges to the architectural flexibility of public health information systems with cloud-native architecture as the mainstream. How to invest in architectural flexibility is an urgent problem in the field of information systems and information management research [2]. For this reason, many scholars have conducted a lot of research on the flexible cost investment of information system architecture, but their research results are mainly concentrated on the public health system of the traditional SOA architecture [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Flexible Investment Strategies for Cloud‐Native Architecture of Public Health Information Systems

Jiang

Nakamoto

Zhuang

et al. 2021

Wireless Communications and Mobile Computing

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The randomness of public health events requires that the cloud-native architecture, as the mainstream architecture of the new generation of the public health information system, has the appropriate flexibility to meet the needs of environmental change. The flexible acquisition of cloud-native architecture requires organizations to invest additional resources. How to plan and formulate resource input is a topic of common concern for public health management and information systems. According to the commercial characteristics of the public health system based on cloud-native architecture, this paper systematically analyzes the external major impact factors and auxiliary factors that affect the flexible cost investment strategy of cloud providers and combines flexible investment strategies to build a cloud-native cost investment model. Finally, case data in practice is applied into the model, and cost planning is discussed according to different situations. The findings indicate that (1) the more cloud providers adopt the changed flexible strategy, the more conducive it is to reduce costs; (2) the larger the application load, the more cloud providers need to use flexible strategies to lower costs; (3) the less the impact of changing the flexible strategy on costs, the more conducive cloud providers use the flexible strategy to decrease costs; (4) the more uneven the distribution of diversity, the higher proportion of investment increases than the proportion of investment, and the more cloud providers consider the investment using flexible strategy. The results of the discussion provide a reference for public health organizations to use flexible strategies and change flexible strategies in a timely manner and expand the research scope of information system cost investment.

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Section: Computational Model For Flexible Cost Input Of Cloud-native mentioning

confidence: 99%

Section: Computational Model For Flexible Cost Input Of Cloud-native mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Flexible Investment Strategies for Cloud‐Native Architecture of Public Health Information Systems

Jiang

Nakamoto

Zhuang

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…Lim et al [21] studied the influence of clustering coefficients under the SIR model with heterogeneous contact rates and provided a novel iterative algorithm to estimate the conditions and sizes of global cascades. In order to study the influence of human subjective value and psychological status on information dissemination, Liu et al [22] proposed a novel social network information dissemination with negative feedback NFSIR (negative feedback-susceptible-infected-removed) model on scale-free networks, which showed that the intensity of information feedback has a significant impact on the process of information dissemination. The authors of [23,24] presented a privacy protection and emotional behavior information spreading model with a community structure on social networks.…”

Section: Introductionmentioning

confidence: 99%

Spreading dynamics of a preferential information model with hesitation psychology on scale-free networks

Liu

Cheng

et al. 2019

Adv Differ Equ

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Considering the influence of the preferential degree, the hesitation psychology of customers and the heterogeneity of underlying networks in preferential information spreading, we propose a novel model called AHFB (adherent-hesitator-forwarderbeneficiary) model to illustrate the dynamic behaviors of preferential information spreading on scale-free networks. The mean-field theory is adopted to describe the formulas of AHFB model. To begin with, we analyze the spreading dynamics of preferential information. Then we determine the basic reproductive number and equilibria by the next generation matrix method. The relationship among the basic reproductive number, preferential degree, and hesitation parameter is also analyzed. In addition, the globally asymptotical stability of information-eliminate equilibrium and the permanence of the preferential information spreading are proved in detail. Furthermore, a preferential information competition model is proposed, and the corresponding dynamic behaviors are studied. We have found that under certain conditions, a greater competitive advantage can be achieved by improving a certain range of preferential strengths. Numerical simulations are also presented to verify and extend theoretical results.

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“…Then, they proposed a method to measure the social influence of users and verified that the proposed model can effectively perceive the information evolution situation of social network. This paper in [12] further considered the influencing factors of node feedback information, and analyzed the characteristics of social network and the social attributes of communicators, in which authors adopted a new negative feedback mechanism of social network information, defined the feedback principle of feedback function description information, and constructed the evolution propagation tree of information to reveal the complex interaction in the user relationship, social communities and cyberspace information in social network.…”

mentioning

confidence: 99%

A Social Network Information Dissemination Model Based on Evolutionary Game Considering Node’s Attitude

Huang

Lai

et al. 2019

Proceedings of the 12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019,

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As a kind of social attribute of bounded rational users, attitude continuously selects and updates in the process of interaction between nodes, which makes the behavioral game between communication subjects and affects the dissemination of information. To analyze the impact of attitude changes on information, this paper proposes an information propagation model based on evolutionary game. Firstly, from the individual point of view, the update rules of the node's attitude are defined according to non-Bayesian social learning rules. Secondly, the game matrix between nodes based on attitude value is established, and the information dissemination model based on node attitude is established according to the evolutionary analysis paradigm. By replicating the equilibrium solution of dynamic equations with both positive and negative attitudes, and analyzing the stability of the corresponding equilibrium points, the evolution mechanism of dynamic interaction between attitude nodes is obtained. Finally, the impact of different attitudes on information dissemination was analyzed by combining SIS model. The validity of the proposed model is verified by numerical analysis and simulation experiments, and the simulation results show that the change of different attitude of nodes plays an important role in information dissemination.

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A novel negative feedback information dissemination model based on online social network

Cited by 23 publications

References 28 publications

Flexible Investment Strategies for Cloud‐Native Architecture of Public Health Information Systems

Flexible Investment Strategies for Cloud‐Native Architecture of Public Health Information Systems

Spreading dynamics of a preferential information model with hesitation psychology on scale-free networks

A Social Network Information Dissemination Model Based on Evolutionary Game Considering Node’s Attitude

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