activity
20062008
most citedMaximal planar scale-free Sierpinski networks with small-world effect and power-law strength-degree correlation

90 citations · 519 across the 15 of their papers we have counts for

collaborators

16 papers

cs.DB200822 cited

Challenging More Updates: Towards Anonymous Re-publication of Fully Dynamic Datasets

Feng Li, Shuigeng Zhou

Most existing anonymization work has been done on static datasets, which have no update and need only one-time publication. Recent studies consider anonymizing dynamic datasets wit…

q-bio.PE200839 cited

Fractal scale-free networks resistant to disease spread

Zhongzhi Zhang, Shuigeng Zhou, Zou Tao +1

In contrast to the conventional wisdom that scale-free networks are prone to epidemic propagation, in the paper we present that disease spreading is inhibited in fractal scale-free…

cond-mat.dis-nn200872 cited

Exact solution of mean geodesic distance for Vicsek fractals

Zhongzhi Zhang, Shuigeng Zhou, Lichao Chen +2

The Vicsek fractals are one of the most interesting classes of fractals and the study of their structural properties is important. In this paper, the exact formula for the mean geo…

cond-mat.other20082 cited

Finite epidemic thresholds in fractal scale-free `large-world' networks

Zhongzhi Zhang, Shuigeng Zhou, Tao Zou +1

It is generally accepted that scale-free networks is prone to epidemic spreading allowing the onset of large epidemics whatever the spreading rate of the infection. In the paper, w…

cond-mat.other200822 cited

Transition from fractal to non-fractal scalings in growing scale-free networks

Zhongzhi Zhang, Shuigeng Zhou, Lichao Chen +1

Real networks can be classified into two categories: fractal networks and non-fractal networks. Here we introduce a unifying model for the two types of networks. Our model network…

cond-mat.stat-mech200854 cited

Random Sierpinski network with scale-free small-world and modular structure

Zhongzhi Zhang, Shuigeng Zhou, Zhan Su +2

In this paper, we define a stochastic Sierpinski gasket, on the basis of which we construct a network called random Sierpinski network (RSN). We investigate analytically or numeric…