activity
20162024
most citedWarnings and Caveats in Brain Controllability

85 citations · 142 across the 9 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2024

Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems

Meghdad Saeedian, Chengyi Tu, Fabio Menegazzo +3

Games with environmental feedback have become a crucial area of study across various scientific domains, modelling the dynamic interplay between human decisions and environmental c…

math.DS2023

Dimensionality Reduction in Stochastic Complex Dynamical Networks

Chengyi Tu, Jianhong Luo, Xuwei Pan

Complex systems are ubiquitous in nature and engineering, but their analysis and control are hampered by their high dimensionality and the influence of various factors on their dyn…

econ.TH2021★ 1 cited

The emergence of cooperation from shared goals in the Systemic Sustainability Game of common pool resources

Chengyi Tu, Paolo DOdorico, Zhe Li +1

The sustainable use of common-pool resources (CPRs) is a major environmental governance challenge because of their possible over-exploitation. Research in this field has overlooked…

q-bio.QM2019

Brain Controllability: not a slam dunk yet

Samir Suweis, Chengyi Tu, Rodrigo P. Rocha +3

In our recent article (Tu et al., Warnings and caveats in brain controllability, arXiv:1705.08261) we provided quantitative evidence to show that there are warnings and caveats in…

q-fin.ST2018★ 2 cited

Critical slowing down associated with critical transition and risk of collapse in cryptocurrency

Chengyi Tu, Paolo DOdorico, Samir Suweis

The year 2017 saw the rise and fall of the crypto-currency market, followed by high variability in the price of all crypto-currencies. In this work, we study the abrupt transition…

q-bio.PE2018★ 5 cited

Reconciling cooperation, biodiversity and stability in complex ecological communities

Chengyi Tu, Samir Suweis, Jacopo Grillib +2

Empirical observations show that ecological communities can have a huge number of coexisting species, also with few or limited number of resources. These ecosystems are characteriz…

q-bio.PE2017★ 2 cited

Reconciling cooperation, biodiversity and stability in complex ecological communities

Chengyi Tu, Samir Suweis, Jacopo Grilli +2

Empirical observations show that ecological communities can have a huge number of coexisting species, also with few or limited number of resources. These ecosystems are characteriz…

q-bio.NC2017★ 85 cited

Warnings and Caveats in Brain Controllability

Chengyi Tu, Rodrigo P. Rocha, Maurizio Corbetta +3

In this work we challenge the main conclusions of Gu et al work (Controllability of structural brain networks. Nature communications 6, 8414, doi:10.1038/ncomms9414, 2015) on brain…

physics.soc-ph2016★ 6 cited

A data driven network approach to rank countries production diversity and food specialization

Chengyi Tu, Joel Carr, Samir Suweis

The easy access to large data sets has allowed for leveraging methodology in network physics and complexity science to disentangle patterns and processes directly from the data, le…

physics.gen-ph2016★ 41 cited

Collapse of Resilience Patterns in Generalized Lotka-Volterra Dynamics and Beyond

Chengyi Tu, Jacopo Grilli, Friedrich Schuessler +1

Recently, a theoretical framework aimed at separating the roles of dynamics and topology in multi-dimensional systems has been developed (Gao et al, \textit{Nature}, Vol 530:307 (2…