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1 – 3 of 3Shihan Meng, Wenxiang Dong, Hong Hu and Yuejiang Li
The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives.
Abstract
Purpose
The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives.
Design/methodology/approach
This paper first defines the supply chain’s resilience, then proposes a graphical and game-theoretic framework to evaluate the resilience.
Findings
In this framework, an equilibrium with high resilience will be achieved after the iterated prisoner's dilemma in the supply chain. The two-stage update mechanism contributes to higher profits, higher stability and stronger risk resistance capability. The reputation-based tit-for-tat strategy in the second stage helps to realize society cooperation.
Originality/value
This work pays more attention to the dynamic evolution of interactions between organizations in the supply chain. It provides an important theoretical basis for future work such as how to effectively control and guide the evolution of events in the intelligence network and how to stand sudden changes and avoid collapse.
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Keywords
Yuejiang Li, H. Vicky Zhao and Yan Chen
With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected individuals. The…
Abstract
Purpose
With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected individuals. The diffusion processes of different information are not independent, and they interact with and influence each other. Modeling and analyzing the interaction between correlated information play an important role in the understanding of the characteristics of information dissemination and better control of the information flows. This paper aims to model the correlated information diffusion process over the crowd intelligence networks.
Design/methodology/approach
This study extends the classic epidemic susceptible–infectious–recovered (SIR) model and proposes the SIR mixture model to describe the diffusion process of two correlated pieces of information. The whole crowd is divided into different groups with respect to their forwarding state of the correlated information, and the transition rate between different groups shows the property of each piece of information and the influences between them.
Findings
The stable state of the SIR mixture model is analyzed through the linearization of the model, and the stable condition can be obtained. Real data are used to validate the SIR mixture model, and the detailed diffusion process of correlated information can be inferred by the analysis of the parameters learned through fitting the real data into the SIR mixture model.
Originality/value
The proposed SIR mixture model can be used to model the diffusion of correlated information and analyze the propagation process.
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Keywords
Yuejiang Li and Hong Zhao
The purpose of this paper is to review the recent studies on opinion polarization and disagreement.
Abstract
Purpose
The purpose of this paper is to review the recent studies on opinion polarization and disagreement.
Design/methodology/approach
In this work, recent advances in opinion polarization and disagreement and pay attention to how they are evaluated and controlled are reviewed.
Findings
In literature, three metrics: polarization, disagreement and polarization-disagreement index are usually adopted and there is a tradeoff between polarization and disagreement. Different strategies have been proposed in literature which can significantly control opinion polarization and disagreement based on these metrics.
Originality/value
This review is of crucial importance to summarize works on opinion polarization and disagreement and to the better understanding and control of them.
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