activity
20072011
most citedMaximal planar scale-free Sierpinski networks with small-world effect and power-law strength-degree correlation

90 citations · 219 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2011★ 13 cited

REX: Explaining Relationships between Entity Pairs

Lujun Fang, Anish Das Sarma, Cong Yu +1

Knowledge bases of entities and relations (either constructed manually or automatically) are behind many real world search engines, including those at Yahoo!, Microsoft, and Google…

cond-mat.stat-mech2008★ 9 cited

The rigorous solution for the average distance of a Sierpinski network

Zhongzhi Zhang, Lichao Chen, Lujun Fang +3

The closed-form solution for the average distance of a deterministic network--Sierpinski network--is found. This important quantity is calculated exactly with the help of recursion…

physics.soc-ph2007★ 1 cited

A Synthetical Weights' Dynamic Mechanism for Weighted Networks

Lujun Fang, Zhongzhi Zhang, Shuigeng Zhou +1

We propose a synthetical weights' dynamic mechanism for weighted networks which takes into account the influences of strengths of nodes, weights of links and incoming new vertices.…

physics.soc-ph2007★ 90 cited

Maximal planar scale-free Sierpinski networks with small-world effect and power-law strength-degree correlation

Zhongzhi Zhang, Shuigeng Zhou, Lujun Fang +2

Many real networks share three generic properties: they are scale-free, display a small-world effect, and show a power-law strength-degree correlation. In this paper, we propose a…

cond-mat.stat-mech2007★ 60 cited

Exact analytical solution of average path length for Apollonian networks

Zhongzhi Zhang, Lichao Chen, Shuigeng Zhou +3

The exact formula for the average path length of Apollonian networks is found. With the help of recursion relations derived from the self-similar structure, we obtain the exact sol…

physics.soc-ph2007★ 23 cited

Recursive weighted treelike networks

Zhongzhi Zhang, Shuigeng Zhou, Lichao Chen +3

We propose a geometric growth model for weighted scale-free networks, which is controlled by two tunable parameters. We derive exactly the main characteristics of the networks, whi…