My research up to now, can be classified in three broad areas: (1) Controllability of Complex Networks; (2) Data analysis and network modeling of socio and economic systems; (3) Universality and Resilience in ecological and biological networked systems. I have tackled a wide-range of interdisciplinary problems using creative approaches grounded in statistical/network physics and complex systems.
Tu, C., et al. (2017). “Cooperation promotes biodiversity and stability in a model ecosystem.” , arXiv preprint arXiv:1708.03154.
Tu, C., et al. (2017). “Warnings and Caveats in Brain Controllability.” , arXiv preprint arXiv:1705.08261.
Tu, C., Grilli, J. Schuessler, F. and Suweis, S*. (2016). “Collapse of resilience patterns in generalized Lotka-Volterra dynamics and beyond”. Physical Review E 95: 062307
Tu, C. (2015). "A Dynamical method to estimate gene regulatory networks using time-series data." Complexity 21(2): 134-144.
Tu, C. (2014). "Cointegration-based financial networks study in Chinese stock market." Physica A: Statistical Mechanics and its Applications 402: 245-254.