Yan-Bo Xie

Scale-free networks without growth

In this paper, we proposed an ungrowing scale-free network model, indicating the growth may not be a necessary condition of the self-organization of a network in a scale-free structure. The analysis shows that the degree distributions of the present model can varying from the Poisson form to the power-law form with the decrease of a free parameter α. This model provides a possible mechanism for the evolution of some scale-free networks with fixed size, such as the friendship networks of school children and the functional networks of the human brain.

A simple, convenient, mild solvothermal route to nanocrystalline Cu3P and Ni2P

Abstract Sheet-like nanocrystalline Cu 3 P and spherical nanocrystalline Ni 2 P with hexagonal phases were successfully obtained under mild solvothermal conditions based on the reactions of CuCl 2 ·2H 2 O, NiCl 2 ·6H 2 O with elemental phosphorus in ammonia liquor systems. The phase, grain size, morphology and purity were determined by XRD, TEM and XPS, respectively. The ammonia system and active yellow phosphorus played important roles in the formation of nanocrystalline Cu 3 P and Ni 2 P. A possible mechanism is proposed.

Geographical networks evolving with an optimal policy

In this article we propose a growing network model based on an optimal policy involving both topological and geographical measures. In this model, at each time step, a node, having randomly assigned coordinates in a 1x1 square, is added and connected to a previously existing node i, which minimizes the quantity ri2/kialpha, where ri is the geographical distance, ki the degree, and alpha a free parameter. The degree distribution obeys a power-law form when alpha=1, and an exponential form when alpha=0. When alpha is in the interval (0, 1), the network exhibits a stretched exponential distribution. We prove that the average topological distance increases in a logarithmic scale of the network size, indicating the existence of the small-world property. Furthermore, we obtain the geographical edge length distribution, the total geographical length of all edges, and the average geographical distance of the whole network. Interestingly, we found that the total edge length will sharply increase when alpha exceeds the critical value alphac=1, and the average geographical distance has an upper bound independent of the network size. All the results are obtained analytically with some reasonable approximations, which are well verified by simulations.

Global optimization of minority game by intelligent agents

Abstract. We propose a new model of minority game with intelligent agents who use trail and error method to make a choice such that the standard deviation σ2 and the total loss in this model reach the theoretical minimum values in the long time limit and the global optimization of the system is reached. This suggests that the economic systems can self-organize into a highly optimized state by agents who make decisions based on inductive thinking, limited knowledge, and capabilities. When other kinds of agents are also present, the simulation results and analytic calculations show that the intelligent agent can gain profits from producers and are much more competent than the noise traders and conventional agents in original minority games proposed by Challet and Zhang.

Power law distribution of wealth in population based on a modified Equíluz-Zimmermann model.

A money-based model for the power law distribution (PLD) of wealth in an economically interacting population is introduced. The basic feature of our model is concentrating on the capital movements and avoiding the complexity of micro behaviors of individuals. It is proposed as an extension of the Equiluz and Zimmermanns (EZ) model for crowding and information transmission in financial markets. Still, we must emphasize that in EZ model the PLD without exponential correction is obtained only for a particular parameter, while our pattern will give it within a wide range. The Zipf exponent depends on the parameters in a nontrivial way and is exactly calculated in this paper.

SPEED OF LAST VEHICLE FEEDBACK STRATEGY IN INTELLIGENT TRANSPORTATION SYSTEMS

Traffic jam has become a big problem in the development of economy. How to effectively improve the road capacity is becoming the key problem in the research of traffic flow. As the core part of the next generation intelligent transportation systems, the feedback strategy has attracted much attention. In recent years, researchers have proposed many effective strategies. In this paper, a strategy called speed of last vehicle feedback strategy is introduced, and simulated in a two-route scenario with one exit. Result shows that compared with other strategies, this strategy has certain advantages on average flux — a criteria describing traffic capacity of traffic systems. More importantly, the implementation of this strategy is very simple.

The mechanism for the self-adaptation behavior in the evolutionary minority game model

In this paper, we shall present our studies of a generalized evolutionary minority game model in which the agents are divided into several groups. The performance of the individual agent is averaged in each group. We find that there are three different effects in this generalized model, i.e. (1) group averaging effect, (2) left-right asymmetric effect, and (3) self-interaction effect. The former two effects favor the cautious agents, while the last one favors the extreme agents. In most cases, both the analytic results and the numerical simulations demonstrate that the group averaging effect is dominantly important and therefore the performance of the cautious agents is better than that of the extreme agents. However, when the number of groups is sufficiently large, the generalized model can be somehow reduced to the conventional evolutionary minority game model. As the parameters vary in the generalized model, the importance of the above three effects is exchangeable and different types of population distribution emerge.