activity
20002020
collaborators

8 papers

q-bio.PE2020

Inferring high-resolution human mixing patterns for disease modeling

Dina Mistry, Maria Litvinova, Ana Pastore y Piontti +12

Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for…

physics.soc-ph2019

Coevolution spreading in complex networks

Wei Wang, Quan-Hui Liu, Junhao Liang +2

The propagations of diseases, behaviors and information in real systems are rarely independent of each other, but they are coevolving with strong interactions. To uncover the dynam…

physics.soc-ph2018

Epidemic spreading on time-varying multiplex networks

Quan-Hui Liu, Xinyue Xiong, Qian Zhang +1

Social interactions are stratified in multiple contexts and are subject to complex temporal dynamics. The systematic study of these two features of social systems has started only…

physics.soc-ph2018

Impacts of Opinion Leaders on Social Contagions

Quan-Hui Liu, Feng-Mao Lü, Qian Zhang +2

Opinion leaders are ubiquitous in both online and offline social networks, but the impacts of opinion leaders on social behavior contagions are still not fully understood, especial…

physics.soc-ph2018

Synergistic interactions promote behavior spreading and alter phase transition on multiplex networks

Quan-Hui Liu, Wei Wang, Shi-Min Cai +2

Synergistic interactions are ubiquitous in the real world. Recent studies have revealed that, for a single-layer network, synergy can enhance spreading and even induce an explosive…

physics.soc-ph2016

Suppressing disease spreading by using information diffusion on multiplex networks

Wei Wang, Quan-Hui Liu, Shi-Min Cai +3

Although there is always an interplay between the dynamics of information diffusion and disease spreading, the empirical research on the systemic coevolution mechanisms connecting…