output
19952026
most citedPublic transport networks: empirical analysis and modeling

302 citations

Showing cond-mat.dis-nnShow all

25 papers · 1 filter

cond-mat.dis-nn2024★ 1 cited

Emergence of the 3D diluted Ising model universality class in a mixture of two magnets

J. J. Ruiz-Lorenzo, M. Dudka, M. Krasnytska +1

Usually, the impact of structural disorder on the magnetic phase transition in the 3D Ising model is analyzed within the framework of quenched dilution by a non-magnetic component,…

cond-mat.dis-nn2022★ 3 cited

Effective and asymptotic criticality of structurally disordered magnets

Maxym Dudka, Mariana Krasnytska, Juan J. Ruiz-Lorenzo +1

Changes in magnetic critical behaviour of quenched structurally-disordered magnets are usually exemplified in experiments and in MC simulations by diluted systems consisting of mag…

cond-mat.dis-nn2022★ 1 cited

Efficient algorithms for computing ground states of the 2D random-field Ising model

Argyro Mainou, Nikolaos G. Fytas, Martin Weigel

We investigate the application of graph-cut methods for the study of the critical behaviour of the two-dimensional random-field Ising model. We focus on exact ground-state calculat…

cond-mat.dis-nn2021

Spreading processes in "post-epidemic" environments. II. Safety patterns on scale-free networks

V. Blavatska, Yu. Holovatch

This paper continues our previous study on spreading processes in inhomogeneous populations consisting of susceptible and immune individuals [V. Blavatska, Yu. Holovatch, Physica A…

cond-mat.dis-nn2020★ 9 cited

Spreading processes in "post-epidemic" environments

V. Blavatska, Yu. Holovatch

We analyze infection spreading processes in a system where only a fraction of individuals can be affected by disease, while remaining individuals are immune. Such a pictu…

cond-mat.dis-nn2020★ 3 cited

Shape analysis of random polymer networks

V. Blavatska, K. Haydukivska, Yu. Holovatch

We analyze conformational properties of branched polymer structures, formed on the base of Erdös-Rényi random graph model. We consider networks with vertices and variable par…