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20072022
most citedMaximal planar scale-free Sierpinski networks with small-world effect and power-law strength-degree correlation

90 citations · 194 across the 23 of their papers we have counts for

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Showing physics.soc-phShow all

6 papers · 1 filter

physics.soc-ph2014★ 9 cited

Emergence of Cooperation in Non-scale-free Networks

Yichao Zhang, M. A. Aziz-Alaoui, Cyrille Bertelle +2

Evolutionary game theory is one of the key paradigms behind many scientific disciplines from science to engineering. Previous studies proposed a strategy updating mechanism, which…

physics.soc-ph2014★ 4 cited

Fence-sitters Protect Cooperation in Complex Networks

Yichao Zhang, M. A. Aziz-Alaoui, Cyrille Bertelle +2

Evolutionary game theory is one of the key paradigms behind many scientific disciplines from science to engineering. In complex networks, because of the difficulty of formulating t…

physics.soc-ph2011★ 5 cited

Rumor Evolution in Social Networks

Yichao Zhang, Shi Zhou, Jihong Guan +1

Social network is a main tunnel of rumor spreading. Previous studies are concentrated on a static rumor spreading. The content of the rumor is invariable during the whole spreading…

physics.soc-ph2008★ 19 cited

Influences of degree inhomogeneity on average path length and random walks in disassortative scale-free networks

Zhongzhi Zhang, Yichao Zhang, Shuigeng Zhou +2

Various real-life networks exhibit degree correlations and heterogeneous structure, with the latter being characterized by power-law degree distribution , where th…

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…

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…