Controlling herding in minority game systems

Zhang, Ji Qiang; Huang, Zi‐Gang; Wu, Zhi-Xi; Su, Ri Qi; Lai, Ying–Cheng

doi:10.1038/srep20925

Cited by 20 publications

(12 citation statements)

References 65 publications

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“…Numerical experiments verify that the model can qualitatively reproduce the distributions of user activity and item popularity observed in empirical networks. Employing the mean-field approach, a detailed theory is proposed to predict the dynamics of the Minority Game system subject to pinning control for various network topologies [228]. Bornholdt et al [229] studied the topological evolution of an asymmetrically connected threshold network by a simple local rewiring rule: quiet nodes grow links, active nodes lose links.…”

Section: Topological Evolution According To Dynamicsmentioning

confidence: 99%

Structure-oriented prediction in complex networks

2018

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Complex systems are extremely hard to predict due to its highly nonlinear interactions and rich emergent properties. Thanks to the rapid development of network science, our understanding of the structure of real complex systems and the dynamics on them has been remarkably deepened, which meanwhile largely stimulates the growth of effective prediction approaches on these systems. In this article, we aim to review different networkrelated prediction problems, summarize and classify relevant prediction methods, analyze their advantages and disadvantages, and point out the forefront as well as critical challenges of the field. Contents

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Section: Topological Evolution According To Dynamicsmentioning

confidence: 99%

Structure-oriented prediction in complex networks

2018

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“…Due to its simple beauty and applicability, MG has inspired a thread of studies to explore the behavior complexity of competitive but cooperative agents. Variations of MG have been developed in various fields to model the stock market [24,34], heading behavior [35,36], network congestion control [37], resource allocation [38], and spectrum management [39].…”

Section: Theory and Motivationmentioning

confidence: 99%

Dynamics of Cooperation in Minority Games in Alliance Networks

et al. 2018

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Alliance networks are the underlying structures of social systems in business, management, and society. The sustainability and dynamics of a social system rely on the structural evolutions of the topologies. Understanding the evolution sheds light on the dynamics and sustainability of a social system. Minority game models have been successfully applied across social science, economy, management, and engineering. They provide simple yet applicable modeling to articulate the evolutionary cooperation dynamics of competitive players in binary decision situations. By extending the minority games played in alliance networks, the cooperation in structured systems of different network topologies is analyzed. In this model, local and global score strategies are considered with and without cooperation rewiring options. The cooperation level, the score, and the topological properties are investigated. The research uses a numerical simulation approach on random networks, scale-free networks, and small-world networks. The results suggest that the network rewiring strategy leads to higher systemic performance with a higher score and a higher level of stability in decision-making. Competitive decision-making can lead to a higher level of cooperation from a poor initial start. However, stubbornness in decision-making can lead to a poor situation when cooperation is discouraged. Players with local or global information adopt local and global score strategies. The results show that local strategies might lead to imbalance, while a global strategy might achieve a relatively stable outcome. This work contributes to bridge minority games in structured networks to study the cooperation between formation and evolution, and calls for future minority game modeling on social networks.

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“…Herding refers to situations in which a large number of requests concentrate on a small number of resources perceived to be of high quality, causing these resources to be overloaded while leaving other resources unused 7,8 . It can lead to cascading failures where resources are depleted one after the other, eventually resulting in system breakdown 9 . In the aforementioned software engineering team management example, herding can occur when the team manager overly relies on a few reliable team members, which may result in fatigue and reduced team morale.…”

Section: Background and Summarymentioning

confidence: 99%

A dataset of human decision-making in teamwork management

Shen

Miao

et al. 2017

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Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members’ capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

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Controlling herding in minority game systems

Cited by 20 publications

References 65 publications

Structure-oriented prediction in complex networks

Structure-oriented prediction in complex networks

Dynamics of Cooperation in Minority Games in Alliance Networks

A dataset of human decision-making in teamwork management

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