代表性论文:
[1] Z. Ruan, M. Tang, Z. Liu, Epidemic spreading with information-driven vaccination, Phys. Rev. E, 86,036117 (2012).
[2] Z. Ruan, M. Tang, Z. Liu, How the contagion at links influences epidemic spreading, The European Physical Journal B, 86, 149 (2013).
[3] Z. Ruan, P. Hui, H. Lin, Z. Liu, Risks of an epidemic in a two-layered railway-local area traveling network, The European Physical Journal B, 86, 13 (2013).
[4] Z. Ruan, G. Iniguez, M. Karsai, J. Kertesz, kinetics of social contagion, Physcal Review Letters, 115, 218702 (2015).
[5] Z. Ruan, C. Wang, P. Hui, Z. Liu, Integrated travel network model for studying epidemics: interplay between journeys and epidemic, Scientific Reports, 5, 11401 (2015).
[6] Z. Ruan, J. Xu, C. Gu, M. Tang, Epidemic spreading between two coupled subpopulations with inner-structures, Chaos, 27, 103104 (2017).
[7] Z. Ruan, J. Wang, J. Xu, M. Zhang, Q. Xuan, C. Fu, Effect of indirect social ties on cascading diffusion of information, 2017 International Workshop on Complex Systems and Networks (IWCSN), 96-101 (2017).
[8] Z. Ruan, J. Wang, Q. Xuan, C. Fu, G. Chen, Information filtering by smart nodes in random networks, Physical Review E, 98, 022308 (2018).
[9] Z. Ruan, C. Song, X. Yang, G. Shen, Z. Liu, Empirical analysis of urban road traffic network: A case study in Hangzhou city, China, Physica A, 527, 121287 (2019).
[10] 阮中远,复杂网络上的流行病传播,中国科学:物理学 力学 天文学,50, 010507 (2019).
[11] Z. Ruan, B. Yu, X. Shu, Q. Zhang, Q. Xuan, The impact of malicious nodes on the spreading of false information, Chaos, 30, 083101 (2020).
[12] Z. Ruan, B. Yu, X. Zhang, Q. Xuan, Role of lurkers in threshold-driven information spreading dynamics, Physical Review E, 104, 034308 (2021).