Harms and benefits from social imitation

Slanina, František

doi:10.1016/s0378-4371(01)00314-4

Cited by 20 publications

(14 citation statements)

References 18 publications

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“…If two, or more strategies share the best score, then one of those strategies is picked randomly. Previously, the effects of local information in the MG were studied both with reinforcement learning type [7] and non-reinforcement learning type [8,9,10] of agent communication mechanisms on Kauffman networks [11], and with non-reinforcement learning type of mechanisms on linear chains [9,10].…”

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confidence: 99%

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Competition-Driven Network Dynamics: Emergence of a Scale-Free Leadership Structure and Collective Efficiency

et al. 2004

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Using the minority game as a model for competition dynamics, we investigate the effects of inter-agent communications on the global evolution of the dynamics of a society characterized by competition for limited resources. The agents communicate across a social network with small-world character that forms the static substrate of a second network, the influence network, which is dynamically coupled to the evolution of the game. The influence network is a directed network, defined by the inter-agent communication links on the substrate along which communicated information is acted upon. We show that the influence network spontaneously develops hubs with a broad distribution of in-degrees, defining a robust leadership structure that is scale-free. Furthermore, in realistic parameter ranges, facilitated by information exchange on the network, agents can generate a high degree of cooperation making the collective almost maximally efficient.

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confidence: 99%

“…This network of acquaintances forms the substrate network (G), or skeleton for inter-agent communications [2,7,8,9,10,12]. An edge ab in G means that agents a and b may exchange game-relevant information.…”

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confidence: 99%

Competition-Driven Network Dynamics: Emergence of a Scale-Free Leadership Structure and Collective Efficiency

et al. 2004

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“…This is best illustrated by replotting our data in terms of the collapse function (9), as shown in Figures 7 and 8 which highlights the universal aspects of the behaviour. In particular our form (9) shows how the leadership varies in a universal manner for one type of substrate network as the number of vertices and edges (equivalently N and k s ) changes.…”

Section: Discussionmentioning

confidence: 99%

“…What is clear is that there are relatively minor differences between the random graphs and the scale free graphs, but that there is a fundamental change when working with the regular ring graph. To show this more clearly we plot the data for three different types of graph but with essentially the same number of vertices and edges using the data collapse function (9). The result is shown in Figure 8 and emphasises the differences between the different type of graph.…”

Section: Data Collapsementioning

confidence: 99%

The emergence of leadership in social networks

Clemson¹,

Evans²

2012

Physica A: Statistical Mechanics and its Applications

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We study a networked version of the minority game in which agents can choose to follow the choices made by a neighbouring agent in a social network. We show that for a wide variety of networks a leadership structure always emerges, with most agents following the choice made by a few agents. We find a suitable parameterisation which highlights the universal aspects of the behaviour and which also indicates where results depend on the type of social network.

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“…The agents who pick the minority resource are rewarded, and those belonging to the majority group are punished due to limited resources. The MG dynamics has been studied extensively in the past 21 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 .…”

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confidence: 99%

Controlling herding in minority game systems

Zhang

Huang

et al. 2016

Sci Rep

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Resource allocation takes place in various types of real-world complex systems such as urban traffic, social services institutions, economical and ecosystems. Mathematically, the dynamical process of resource allocation can be modeled as minority games. Spontaneous evolution of the resource allocation dynamics, however, often leads to a harmful herding behavior accompanied by strong fluctuations in which a large majority of agents crowd temporarily for a few resources, leaving many others unused. Developing effective control methods to suppress and eliminate herding is an important but open problem. Here we develop a pinning control method, that the fluctuations of the system consist of intrinsic and systematic components allows us to design a control scheme with separated control variables. A striking finding is the universal existence of an optimal pinning fraction to minimize the variance of the system, regardless of the pinning patterns and the network topology. We carry out a generally applicable theory to explain the emergence of optimal pinning and to predict the dependence of the optimal pinning fraction on the network topology. Our work represents a general framework to deal with the broader problem of controlling collective dynamics in complex systems with potential applications in social, economical and political systems.

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Harms and benefits from social imitation

Cited by 20 publications

References 18 publications

Competition-Driven Network Dynamics: Emergence of a Scale-Free Leadership Structure and Collective Efficiency

Competition-Driven Network Dynamics: Emergence of a Scale-Free Leadership Structure and Collective Efficiency

The emergence of leadership in social networks

Controlling herding in minority game systems

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