Community detection is one of the most important problems in complex networks. Many algorithms have been proposed in the last decade, and most of them focus on the non-overlapping community structures in the early days. Overlapping and hierarchical structures are another two important properties...

A scaling theory is formulated in nonlinear Langevin equations with colored noise near the instability point from which the center of the initial distribution is deviated slightly. An intuitive derivation is given as well as perturbational calculations up to the infinite order of the noise....

This paper presents a simulation model for pedestrian collective behavior. It is supposed that the pedestrians make individual decisions during movement according to their wishes and interaction with other pedestrians. The follow effect, deterrent effect and rejection effect are put forth as...

The method of the effective-field theory with self-spin correlations and the differential operator technique is used to study the magnetic properties of the spin-3/2 Ising model with biaxial crystal-field on the honeycomb lattice. The effects of a biaxial crystal-field described by two uniaxial...

The fractal and self-similarity properties are revealed in many complex networks. The information dimension is a useful method to describe the fractal and self-similarity properties of the complex networks. In order to show the influence of different parts in the complex networks to the...

This paper presents a simulation model for bi-directional pedestrian behavior. Guide effect and press effect performed by pedestrians with same direction, and contain effect performed by opposite pedestrians were considered as potential effects. Potential field was defined to simulate the...