activity
20172019
most citedUncertainty Quantification in Molecular Signals using Polynomial Chaos Expansion

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2019

Graph Hierarchy: A novel approach to understanding hierarchical structures in complex networks

Giannis Moutsinas, Choudhry Shuaib, Weisi Guo +1

Trophic coherence, a measure of a graph's hierarchical organisation, has been shown to be linked to a graph's structural and dynamical aspects such as cyclicity, stability and norm…

physics.comp-ph20192 cited

Uncertainty Quantification in Molecular Signals using Polynomial Chaos Expansion

Mahmoud Abbaszadeh, Giannis Moutsinas, Peter J. Thomas +1

Molecular signals are abundant in engineering and biological contexts, and undergo stochastic propagation in fluid dynamic channels. The received signal is sensitive to a variety o…

cs.NI2018

Probabilistic Stability of Traffic Load Balancing on Wireless Complex Networks

Giannis Moutsinas, Weisi Guo

Load balancing between adjacent base stations (BSs) is important for balancing load distributions and improving service provisioning. Whilst load balancing between any given pair o…

nlin.AO2018

Node-Level Resilience Loss in Dynamic Complex Networks

Giannis Moutsinas, Weisi Guo

In an increasingly connected world, the resilience of networked dynamical systems is important in the fields of ecology, economics, critical infrastructures, and organizational beh…

math.DS2017

Unfolding of nilpotent equilibria of degree 4 in Hamiltonian systems with 2 degrees of freedom

Giannis Moutsinas

We consider Hamiltonian systems of two degrees of freedome having a nilpotent equilibrium point with only one eigenvector. We provide the universal unfolding of such equilibrium, p…