ダイキボ ケツゴウ ハッシンキ ニヨル シャカイ ネットワーク ノ モデリング

In this study, we propose modeling method for social networks by using coupled chaotic circuits. First, clustering phenomena in coupled chaotic circuits networks are investigated. A coupling strength between the circuits is set to depend on the distance. We confirm that the coupled chaotic circuits network are formed several clusters which are defined by using chaos synchronization. Finally, we apply this proposed chaotic network for modeling of social networks

SOCIAL NETWORK MODELING BY USING COUPLED OCSILLATORY SYSTEMS

In this study, we investigate the clustering phenomena in a social network of coupled chaotic circuits. We observe the various clustering phenomena in a social network model using coupled chaotic circuits when we change the scaling parameter ofthe coupling strength

Chaos glial network connected to Multi-Layer Perceptron for Solving Two-Spiral Problem

Abstract — Some methods using artificial neural network were proposed for solving to the Two-Spiral Problem (TSP). TSP is a problem which classifies two spirals drawn on the plane, and it is famous as the high nonlinear problem. In this paper, we propose a chaos glial network which connected to Multi-Layer Perceptron (MLP). The chaos glial network is inspired by astrocyte which is glial cell in the brain. By computer simulations for solving TSP, we confirmed that the proposed chaos glial network connected to MLP gains better performance than the conventional MLP. I

Performance of Chaos and Burst Noises Injected to the Hopfield NN for Quadratic Assignment Problems

In this paper, performance of chaos and burst noises injected to the Hopfield Neural Network for quadratic assignment problems is investigated. For the evaluation of the noises, two methods to appreciate finding a lot of nearly optimal solutions are proposed. By computer simulations, it is confirmed that the burst noise generated by the Gilbert model with a laminar part and a burst part achieved the good performance as the intermittency chaos noise near the three-periodic window

Synchronization phenomena in van der Pol oscillators coupled by a time-varying resistor

Abstract-In this study, synchronization phenomena observed in van der Pol oscillators coupled by a fifth-power nonlinear resistor are investigated. By carrying out computer simulations, interesting synchronization phenomena can be confirmed to be generated in this system. Namely, the synchronization states change according to the coupling strength and nonlinearity of the coupling resistor

Synchronization of chaotic circuits with stochastically-coupled network topology

In recent years, research on synchronization between coupled chaotic circuits has attracted interest in a wide range of fields. This is because the synchronization of coupled chaotic circuits is a multidisciplinary phenomenon that occurs in various applications, such as broadband communication systems or secure communication. In this study, we propose a coupled chaotic circuit network model with stochastic couplings. We investigate the synchronization phenomena observed for the proposed network using different network structures such as fully-coupled, random, small world and scale-free networks. We find that the same synchronization characteristics can be obtained for these networks with a dynamic topology as when the coupling strength is changed in static networks

Structural evolution in networks of coupled maps with asymmetric influence amplification

We consider self-organization processes in networks of coupled chaotic maps whose dynamics determine the time evolution of the network’s connectivity. In particular, a structural development rule is introduced that enhances the asymmetry of the influence that two nodes exert on each other. Our motivating assumption is that this rule can give rise to dynamic clustering, where some individual nodes act as impulse leaders that impose their dynamics on a group of followers. We examine to what extent this assumption can be confirmed in what we deem to be a paradigmatic toy model