發(fā)表的代表性論文 [31] Y. Liu, Y. Liu, Z. Jin, M. Kirillin, M. Tang*, Y.-C. Zhang, Synergistic coevolution of opinion formation and message diffusion: Critical phenomena induced by relative timescales, Chaos, Solitons & Fractals 208, 118074, 2026. (SCI一區(qū)TOP期刊,學(xué)生一作) [30] C. Luo, Ying Liu*, Ping Li, Wei Wang*. Resilience of interdependent hypergraphs in failure-recovery spreading process. Physica A 675:130788, 2025. (SCI二區(qū)期刊,學(xué)生一作) [29] 侯詩(shī)雨,劉影*,唐明. 融合節(jié)點(diǎn)動(dòng)態(tài)傳播特征與局域結(jié)構(gòu)的復(fù)雜網(wǎng)絡(luò)傳播關(guān)鍵節(jié)點(diǎn)識(shí)別. 物理學(xué)報(bào) 74: 108901, 2025. (SCI三區(qū)期刊) [28] L. Ge, Y. Long, Y. Liu, et al. Prediction and prevention of non-Markovian epidemic spreading in coupled system. Chaos, Solitons and Fractals 191:115869, 2025. (SCI 1區(qū)TOP,數(shù)學(xué)跨學(xué)科應(yīng)用1區(qū),學(xué)生一作) [27] P. Pei, Y. Liu*, J. Wang, W. Wang*. Suppressing cascading failures on multiplex networks with flow by reinforcing critical edges. International Journal of Modern Physics C, 2550015, 2025. (SCI期刊,學(xué)生一作) [26] 郭志成, 劉影*,陳鈺書(shū),唐明. 復(fù)雜網(wǎng)絡(luò)上具有自適應(yīng)行為的故障-恢復(fù)傳播動(dòng)力學(xué)研究. 電子科技大學(xué)學(xué)報(bào) 3:473-480, 2024. [25] 李江,劉影*,王偉,周濤. 識(shí)別高階網(wǎng)絡(luò)傳播中最有影響力的節(jié)點(diǎn). 物理學(xué)報(bào), 4:320-329, 2024. [24] Y. Chen, Y. Liu*, M. Tang*, Y.-C. Lai, Epidemic dynamics with non-Markovian travel in multilayer networks, Communications Physics 6:263, 2023. (SCI 1區(qū) TOP期刊,Nature子刊,學(xué)生一作) [23] Y. Liu , Q. Zeng , L. Pan, M. Tang, Identify Influential Spreaders in Asymmetrically Interacting Multiplex Networks, IEEE Transactions on network science and engineering 10(4), 2201-2211, 2023. (SCI 2區(qū),領(lǐng)域內(nèi)頂刊) [22] Y. Lai, Y. Liu*, K. Zheng, Wei Wang. Robustness of interdependent higher-order networks. Chaos 33, 073121 (2023). (SCI 2區(qū),學(xué)生一作) [21]L. Zeng, M. Tang*, Y. Liu. The impacts of the individual activity and attractiveness correlation on spreading dynamics in time-varying networks, Communications in Nonlinear Science and Numerical Simulation 122, 107233 (2023). (SCI 2區(qū),學(xué)生一作) [20] J. Chen, Y. Liu*, M. Tang*, J. Yue. Asymmetrically interacting dynamics with mutual confirmation from multi-source on multiplex networks. Information Sciences 619, 478-490 (2023). (SCI 1區(qū) TOP期刊,學(xué)生一作) [19] J. Chen, Y. Liu*, J. Yue, X. Duan, M. Tang. Coevolving spreading dynamics of negative information and epidemic on multiplex networks. Nonlinear Dynamics 110, 3881-3891 (2022). (SCI 2區(qū),學(xué)生一作) [18] D. Wu, Y. Liu, M. Tang*, X.-K. Xu, S. Guan. Impact of hopping characteristics of inter-layer commuters on epidemic spreading in multilayer networks. Chaos, Solitons and Fractals 159, 112100 (2022). (SCI 1區(qū)TOP期刊,數(shù)學(xué)跨學(xué)科應(yīng)用1區(qū),學(xué)生一作) [17] J. Qu, Y. Liu, M. Tang*, S. Guan*. Identification of the most influential stocks in financial networks. Chaos, Solitons and Fractals 158, 111939 (2022). (SCI 1區(qū)TOP期刊,數(shù)學(xué)跨學(xué)科應(yīng)用1區(qū),學(xué)生一作) [16] K. Zheng, Y. Liu*, J. Gong, W. Wang*. Robustness of circularly interdependent networks. Chaos, Solitons and Fractals 157, 111934 (2022). (SCI 1區(qū)TOP期刊,數(shù)學(xué)跨學(xué)科應(yīng)用1區(qū),學(xué)生一作) [15] J. Pei, Y. Liu*, W. Wang*, et al. Cascading failures in multiplex network under flow redistribution. Physica A 583, 126340 (2021). (SCI 2區(qū),學(xué)生一作) [14] Q. Zeng, Y. Liu*, M. Tang, et al. Identifying super-spreaders in information-epidemic coevolving dynamics on multiplex networks. Knowledge-Based System 229, 107365 (2021). (SCI 1區(qū)TOP期刊,學(xué)生一作) [13] J.-Y. Qu, M. Tang*, Y. Liu*, S.-G. Guan*. The relative importance of structure and dynamics on node influence in reversible spreading processes. Frontiers of Physics 16, 51503, (2021). (中科院2區(qū),學(xué)生一作) [12] K. Zheng, Y. Liu*, Y. Wang, W. Wang*. k-core percolation on interdependent and interconnected multiplex networks. Europhysics Letter (EPL), 133, 48003 (2021). (SCI期刊,學(xué)生一作) [11] J. Qu, M. Tang*, Y. Liu, S. Guan. Identifying influential spreaders in reversible process. Chaos, Solitons and Fractals 140, 110197 (2020). (SCI 2區(qū)期刊,學(xué)生一作) [10] Y. Xu, M. Tang*, Y. Liu*, Y. Zou, Z. Liu. Identifying epidemic threshold by temporal profile of outbreaks on networks. Chaos 29: 113106 (2019). (SCI 3區(qū),學(xué)生一作) [9] K. Gong, J.-J. Wu, Y. Liu, Q. Li, R.-R. Liu*, M. Tang*. The e?ective healing strategy against localized attacks on interdependent spatially embedded networks. Complexity 7912857 (2019). (SCI 2區(qū)) [8]Q. Ni, M. Tang, Y. Liu,Y.-C.Lai.Machine learning dynamical phase transitions in complex networks. Physical Review E 100, 052312 (2019). (SCI 3區(qū),數(shù)學(xué)物理2區(qū),領(lǐng)域內(nèi)權(quán)威期刊,學(xué)生一作). [7] Y. Liu, M. Tang, Y. Do, P. M. Hui. Accurate ranking of influential spreaders based on dynamically asymmetric link weights. Physical Review E 96:022323 (2017). ( SCI 3區(qū),數(shù)學(xué)物理2區(qū),領(lǐng)域內(nèi)權(quán)威期刊) [6] M.-X. Liu, W. Wang, Y. Liu, M. Tang, S.-M. Cai, and H.-F. Zhang, Social contagions on time-varying community networks. Physical Review E 95: 052306 (2017). (SCI 3區(qū),數(shù)學(xué)物理2區(qū),領(lǐng)域內(nèi)權(quán)威期刊) [5] Y. Liu, M. Tang, T. Zhou, Y. Do. Identify influential spreaders in complex networks, the role of neighborhood. Physica A 452:289-298 (2016). (SCI 3區(qū)期刊,IF=2.243.) [4] 劉影,王偉,尚明生,唐明. 復(fù)雜網(wǎng)絡(luò)上疫情與輿情的傳播及其基于免疫的控制策略. 復(fù)雜系統(tǒng)與復(fù)雜性科學(xué), 13:74–83, 2016. (EI期刊) [3] Y. Liu, M. Tang, T. Zhou, Younghae Do. Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition. Scientific Reports 5:9602 (2015). (SCI 2區(qū)) [2] Y. Liu, M. Tang, T. Zhou, Younghae Do. Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics. Scientific Reports 5:13172 (2015). (SCI 2區(qū)) [1] Y. Liu, M. Tang, J. Yue and J. Gong. Identify influential spreaders in complex real-world networks. IEEE International Conference on Internet of People, Beijing 2015. (EI國(guó)際會(huì)議) 主持和參與的科研項(xiàng)目 1. COVID-19疫情的多尺度傳播建模及其預(yù)警與控制研究,國(guó)家自然科學(xué)基金國(guó)際(地區(qū))合作與交流項(xiàng)目,參與。 2. 基于雙層網(wǎng)絡(luò)關(guān)鍵節(jié)點(diǎn)的流行病傳播策略研究,國(guó)家自然科學(xué)基金,主持。 3. 多層網(wǎng)絡(luò)最有影響力的傳播源識(shí)別,四川省科技計(jì)劃項(xiàng)目應(yīng)用基礎(chǔ)研究,主持。 4. 社會(huì)網(wǎng)絡(luò)的傳播控制策略研究,電子科技大學(xué)博士后科學(xué)基金,主持。 5. 社會(huì)網(wǎng)絡(luò)的快速分層算法,西南石油大學(xué)科研啟航計(jì)劃,主持。 6. 基于機(jī)器學(xué)習(xí)的時(shí)變網(wǎng)絡(luò)表示方法研究,國(guó)家自然科學(xué)基金,參與。 7.西南石油大學(xué)數(shù)據(jù)智能科研創(chuàng)新團(tuán)隊(duì)-復(fù)雜網(wǎng)絡(luò)大數(shù)據(jù)分析,西南石油大學(xué)創(chuàng)新團(tuán)隊(duì),參與。 |