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Search Results: 1 - 10 of 151261 matches for " Wang Bing-Hong "
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Perturbation: the Catastrophe Causer in Scale-Free Networks
Tao Zhou,Bing-Hong Wang
Physics , 2004, DOI: 10.1088/0256-307X/22/5/012
Abstract: A new model about cascading occurrences caused by perturbation is established to search after the mechanism because of which catastrophes in networks occur. We investigate the avalanche dynamics of our model on 2-dimension Euclidean lattices and scale-free networks and find out the avalanche dynamic behaviors is very sensitive to the topological structure of networks. The experiments show that the catastrophes occur much more frequently in scale-free networks than in Euclidean lattices and the greatest catastrophe in scale-free networks is much more serious than that in Euclidean lattices. Further more, we have studied how to reduce the catastrophes' degree, and have schemed out an effective strategy, called targeted safeguard-strategy for scale-free networks.
Traffic flow and efficient routing on scale-free networks: A survey
Bing-Hong Wang,Tao Zhou
Physics , 2006,
Abstract: Recently, motivated by the pioneer works in revealing the small-world effect and scale-free property of various real-life networks, many scientists devote themselves to studying complex networks. In this paper, we give a brief review on the studies of traffic flow and efficient routing on scale-free networks, including the traffic dynamics based on global routing protocol, Traffic dynamics based on local routing protocol, and the critical phenomena and scaling behaviors of real and artificial traffic. Finally, perspectives and some interesting problems are proposed.
Statistical properties of the attendance time series in the minority game
Dafang Zheng,Bing-Hong Wang
Physics , 2001, DOI: 10.1016/S0378-4371(01)00406-X
Abstract: We study the statistical properties of the attendance time series corresponding to the number of agents making a particular decision in the minority game (MG). We focus on the analysis of the probability distribution and the autocorrelation function of the attendance over a time interval in the efficient phase of the game. In this regime both the probability distribution and the autocorrelation function are shown to have similar behaviour for time differences corresponding to multiples of $2\cdot 2^{m}$, which is twice the number of possible history bit strings in a MG with agents making decisions based on the most recent $m$ outcomes of the game.
The mechanism for the self-adaptation behavior in the evolutionary minority game model
Yanbo Xie,Bing-Hong Wang,Weisong Yang,Weining Wang
Chinese Science Bulletin , 2004, DOI: 10.1007/BF02900959
Abstract: 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.
A cellular automaton traffic flow model between the Fukui-Ishibashi and Nagel-Schreckenberg models
Lei Wang,Bing-Hong Wang,Bambi Hu
Physics , 2001, DOI: 10.1103/PhysRevE.63.056117
Abstract: We propose and study a new one-dimensional traffic flow cellular automaton (CA) model of high speed vehicles with the Fukui-Ishibashi-type acceleration for all cars and the Nagel-Schreckenberg-type (NS) stochastic delay only for the cars following the trail of the car ahead. The main difference in the delay scenario between the new model and the NS model is that a car with spacing ahead longer than the velocity limit $M$ may not be delayed in the new model. By using a car-oriented mean field theory, we derive the fundamental diagrams of the average speed as the function of car density analytically. Our theoretical results are in excellent agreement with numerical simulations.


物理学报 , 1988,
Abstract: In this paper, the general structure of linear Jacobian matrices of even periodic orbits for reversible area preserving maps is obtained and two kinds of bifurcation behaviour of symmetric periodic orbits are discussed from the above structure. We present the conditions and the analytical criterions which can distinguish three types for equal periodic bifurcations of reversible area preserving maps. The applications of this analytical method are illustrated with several examples of De Vogelaere map.
Order Parameter Hysteresis on the Complex Network

MA Pei-Jie,WANG Bing-Hong,

中国物理快报 , 2008,
Abstract: Collective synchronization is investigated on the small-world network (NW model). The order parameter is introduced to measure the synchronization of phase. It is found that there are differences between the processes of synchronization and desynchronization. The dependence of order parameter on the coupling strength is shown like a hysteresis loop. The size of the loop demonstrates the non-monotonicity with the change of adding probability, and is relevant to the construction of the network. The area may be maximum, as the adding probability is equal to 0.4. This phenomenon indicates that the clusters in the network play an important role in the processes of synchronization and desynchronization
Scale-free networks without growth
Yan-Bo Xie,Tao Zhou,Bing-Hong Wang
Physics , 2005, DOI: 10.1016/j.physa.2007.11.005
Abstract: In this letter, we proposed an ungrowing scale-free network model, wherein the total number of nodes is fixed and the evolution of network structure is driven by a rewiring process only. In spite of the idiographic form of $G$, by using a two-order master equation, we obtain the analytic solution of degree distribution in stable state of the network evolution under the condition that the selection probability $G$ in rewiring process only depends on nodes' degrees. A particular kind of the present networks with $G$ linearly correlated with degree is studied in detail. The analysis and simulations show that the degree distributions of these networks can varying from the Possion form to the power-law form with the decrease of a free parameter $\alpha$, indicating the growth may not be a necessary condition of the self-organizaton of a network in a scale-free structure.
Synchronization on complex networks with different sorts of communities
Ming Zhao,Tao Zhou,Bing-Hong Wang
Physics , 2007,
Abstract: In this paper, inspired by the idea that many real networks are composed by different sorts of communities, we investigate the synchronization property of oscillators on such networks. We identify the communities by the intrinsic frequencies probability density $g(\omega)$ of Kuramoto oscillators. That is to say, communities in different sorts are functional different. For a network containing two sorts of communities, when the community strength is strong, only the oscillators in the same community synchronize. With the weakening of the community strength, an interesting phenomenon, \emph{Community Grouping}, appears: although the global synchronization is not achieved, oscillators in the same sort of communities will synchronize. Global synchronization will appear with the further reducing of the community strength, and the oscillators will rotate around the average frequency.
Modeling Human Dynamics with Adaptive Interest
Xiao-Pu Han,Tao Zhou,Bing-Hong Wang
Physics , 2007, DOI: 10.1088/1367-2630/10/7/073010
Abstract: Recently, increasing empirical evidence indicates the extensive existence of heavy tails in the interevent time distributions of various human behaviors. Based on the queuing theory, the Barab\'asi model and its variations suggest the highest-priority-first protocol a potential origin of those heavy tails. However, some human activity patterns, also displaying the heavy-tailed temporal statistics, could not be explained by a task-based mechanism. In this paper, different from the mainstream, we propose an interest-based model. Both the simulation and analysis indicate a power-law interevent time distribution with exponent -1, which is in accordance with some empirical observations in human-initiated systems.
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