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20162021
most citedDynamics on networks. Case of Heterogeneous Opinion Status Model

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2021

Modelling railway delay propagation as diffusion-like spreading

Mark M. Dekker, Alexey N. Medvedev, Jan Rombouts +2

Railway systems form an important means of transport across the world. However, congestions or disruptions may significantly decrease these systems' efficiencies, making predicting…

cond-mat.stat-mech2020

Continuous limits of Heterogeneous Continuous Time Random Walk model

Liubov Tupikina

Continuous time random Walk model has been versatile analytical formalism for studying and modeling diffusion processes in heterogeneous structures, such as disordered or porous me…

physics.soc-ph2019

Morphological organization of point-to-point transport in complex networks

Min-Yeong Kang, Geoffroy Berthelot, Liubov Tupikina +4

We investigate the structural organization of the point-to-point electric, diffusive or hydraulic transport in complex scale-free networks. The random choice of two nodes, a source…

cond-mat.stat-mech2018

Structural and temporal heterogeneities on networks

Liubov Tupikina, Denis S. Grebenkov

A heterogeneous continuous time random walk is an analytical formalism for studying and modeling diffusion processes in heterogeneous structures on microscopic and macroscopic scal…

q-bio.PE2018

Epidemic extinction in networks: Insights from the 12,110 smallest graphs

Petter Holme, Liubov Tupikina

We investigate the expected time to extinction in the susceptible-infectious-susceptible (SIS) model of disease spreading. Rather than using stochastic simulations, or asymptotic c…

physics.soc-ph20171 cited

Dynamics on networks. Case of Heterogeneous Opinion Status Model

Liubov Tupikina

Here we developed a new conceptual, stochastic Heterogeneous Opinion-Status model (HOpS model), which is adaptive network model. The HOpS model admits to identify the main attribut…