Self-organised patterns in production networks
نویسنده
چکیده
Economic firms interact via suppliers/customers interactions. These interactions define a production network. We here study the dynamics of these networks under very simple assumptions and show that they exhibit noticeable patterns of wealth and production. The main dynamical properties of this time/space organisation are studied and shown to be shared by a wide class of models. keywords: networks, firms, avalanches, production, scale-free distributions, patterns, reaction-diffusion systems.
منابع مشابه
Evaluation of an Intrusion Detection System for Routing Attacks in Wireless Self-organised Networks
Wireless Sensor Networks (WSNs) arebecoming increasingly popular, and very useful in militaryapplications and environmental monitoring. However,security is a major challenge for WSNs because they areusually setup in unprotected environments. Our goal in thisstudy is to simulate an Intrusion Detection System (IDS)that monitors the WSN and report intrusions accurately andeffectively. We have thus...
متن کاملResilience of Self-Organised and Top-Down Planned Cities—A Case Study on London and Beijing Street Networks
The success or failure of the street network depends on its reliability. In this article, using resilience analysis, the author studies how the shape and appearance of street networks in self-organised and top-down planned cities influences urban transport. Considering London and Beijing as proxies for self-organised and top-down planned cities, the structural properties of London and Beijing n...
متن کامل3D Object Surface Reconstruction Using Growing Self-organised Networks
This paper studies the adaptation of growing self-organised neural networks for 3D object surface reconstruction. Nowadays, input devices and filtering techniques obtain 3D point positions from the object surface without connectivity information. Growing self-organised networks can obtain the implicit surface mesh by means of a clustering process over the input data space maintaining at the sam...
متن کاملSteel Consumption Forecasting Using Nonlinear Pattern Recognition Model Based on Self-Organizing Maps
Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...
متن کاملMonthly runoff forecasting by means of artificial neural networks (ANNs)
Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...
متن کامل