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20012015
most citedIdentifying influential spreaders in complex networks based on gravity formula

372 citations · 653 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2015★ 372 cited

Identifying influential spreaders in complex networks based on gravity formula

Ling-Ling Ma, Chuang Ma, Hai-Feng Zhang +1

How to identify the influential spreaders in social networks is crucial for accelerating/hindering information diffusion, increasing product exposure, controlling diseases and rumo…

physics.soc-ph2005★ 3 cited

Epidemic dynamics on complex networks

Tao Zhou, Zhong-Qian Fu, Bing-Hong Wang

Recently, motivated by the pioneer works that reveal the small-world effect and scale-free property of various real-life networks, many scientists devote themselves into studying c…

cond-mat.stat-mech2005★ 30 cited

Local-world evolving networks with tunable clustering

Zhongzhi Zhang, Lili Rong, Bing Wang +2

We propose an extended local-world evolving network model including a triad formation step. In the process of network evolution, random fluctuation in the number of new edges is in…

cond-mat.stat-mech2004★ 215 cited

Epidemic spread in weighted scale-free networks

Gang Yan, Tao Zhou, Jie Wang +2

In this letter, we investigate the detailed epidemic spreading process in scale-free networks with links' weights that denote familiarity between two individuals and find that spre…

cond-mat.stat-mech2001★ 33 cited

A cellular automaton traffic flow model between the Fukui-Ishibashi and Nagel-Schreckenberg models

Lei Wang, Bing-Hong Wang, Bambi Hu

We propose and study a new one-dimensional traffic flow cellular automaton (CA) model of high speed vehicles with the Fukui-Ishibashi-type acceleration for all cars and the Nagel-S…