activity
20142016
most citedEpidemic spreading on complex networks with general degree and weight distributions

148 citations · 152 across the 6 of their papers we have counts for

collaborators

6 papers

physics.comp-ph2016

Dynamics of ferrofluidic flow in the Taylor-Couette system with a small aspect ratio

Sebastian Altmeyer, Younghae Do, Ying-Cheng Lai

We investigate fundamental nonlinear dynamics of ferrofluidic Taylor-Couette flow - flow confined between two concentric independently rotating cylinders - consider small aspect ra…

physics.flu-dyn2015

Transition to turbulence in ferrofluids

Sebastian Altmeyer, Younghae Do, Ying-Cheng Lai

It is known that in classical fluids turbulence typically occurs at high Reynolds numbers. But can turbulence occur at low Reynolds numbers? Here we investigate the transition to t…

physics.soc-ph20141 cited

Simulated identification of epidemic threshold on finite-size networks

Panpan Shu, Wei Wang, Ming Tang +1

Epidemic threshold is one of the most important features of the epidemic dynamics. Through a lot of numerical simulations in classic Susceptible-Infected-Recovered (SIR) and Suscep…

physics.soc-ph20141 cited

Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition

Ying Liu, Ming Tang, Tao Zhou +1

Identifying the most influential spreaders is an important issue in understanding and controlling spreading processes on complex networks. Recent studies showed that nodes located…

physics.soc-ph2014148 cited

Epidemic spreading on complex networks with general degree and weight distributions

Wei Wang, Ming Tang, Hai-Feng Zhang +3

The spread of disease on complex networks has attracted widely attention in the physics community. Recent works have demonstrated that heterogeneous degree and weight distributions…

physics.soc-ph20142 cited

Asymmetrically interacting spreading dynamics on complex layered networks

Wei Wang, Ming Tang, Hui Yang +3

The spread of disease through a physical-contact network and the spread of information about the disease on a communication network are two intimately related dynamical processes.…