most citedSpatial prisoner's dilemma game with volunteering in Newman-Watts small-world networks

194 citations · 214 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2005

Description of dynamics of stock prices by a Langevin approach

Zi-Gang Huang, Yong Chen, Yong Zhang +1

We present a time-dependent Langevin description of dynamics of stock prices. Based on a simple sliding-window algorithm, the fluctuation of stock prices is discussed in the view o…

cond-mat.stat-mech2005★ 194 cited

Spatial prisoner's dilemma game with volunteering in Newman-Watts small-world networks

Zhi-Xi Wu, Xin-Jian Xu, Yong chen +1

A modified spatial prisoner's dilemma game with voluntary participation in Newman-Watts small-world networks is studied. Some reasonable ingredients are introduced to the game evol…

physics.soc-ph2005★ 5 cited

Steady States of Epidemic Spreading in Small-World Networks

Xin-Jian Xu, Zhi-Xi Wu, Yong Chen +1

We consider a standard \textit{susceptible-infected-susceptible} (SIS) model to study behaviors of steady states of epidemic spreading in small-world networks. Using analytical met…

cond-mat.dis-nn2002★ 12 cited

Coupling parameter in synchronization of diluted neural networks

Qi Li, Yong Chen, Ying Hai Wang

We study the critical features of coupling parameter in the synchronization of neural networks with diluted synapses. Based on simulations, the exponential decay form is observed i…

cond-mat.dis-nn2002★ 2 cited

The attractors in sequence processing neural networks

Yong Chen, Ying Hai Wang, Kong Qing Yang

The average length and average relaxation time of attractors in sequence processing neural networks are investigated. The simulation results show that a critical point of , the…

cond-mat.dis-nn2002★ 1 cited

The macroscopic dynamics in separable neural networks

Yong Chen, Ying Hai Wang, Kong Qing Yang

The parallel dynamics is given in the case of neural networks with separable coupling through starting from Coolen-Sherrington (CS) theory. It is shown that this retrieve dynamics…