activity
20042025
most citedVoter model dynamics in complex networks: Role of dimensionality, disorder and degree distribution

288 citations · 950 across the 24 of their papers we have counts for

collaborators

26 papers

physics.soc-ph2025

Structurally balanced growing network as randomized Pólya urn process

Krishnadas Mohandas, Piotr J. Górski, Krzysztof Suchecki +3

We investigate a process of growth of a signed network that strictly adheres to Heider structural balance rules, resulting in two opposing, growing factions. New agents make contac…

physics.soc-ph2024

Biswas-Chatterjee-Sen kinetic exchange opinion model for two connected groups

Krzysztof Suchecki, Kathakali Biswas, Janusz A. Hołyst +1

We consider a kinetic model of opinion dynamics known as the Biswas-Chatterjee-Sen model with a modular interaction structure. The system consists of two groups of agents that feat…

physics.soc-ph2024

Paradise-disorder transition in structural balance dynamics on Erdös-Rényi graphs

Krishnadas Mohandas, Krzysztof Suchecki, Janusz A. Holyst

Structural balance has been posited as one of the factors influencing how friendly and hostile relations of social actors evolve over time. This study investigates the behavior of…

physics.soc-ph2023

Critical properties of Heider balance on multiplex networks

Krishnadas Mohandas, Krzysztof Suchecki, Janusz A. Holyst

Heider's structural balance theory has proven invaluable in comprehending the dynamics of social groups characterized by both friendly and hostile relationships. Since people's rel…

physics.soc-ph2020★ 1 cited

Locating the source of interacting signal in complex networks

Robert Paluch, Krzysztof Suchecki, Janusz A. Hołyst

We investigate the problem of locating the source of a self-interacting signal spreading in a complex networks. We use a well-known rumour model as an example of the process with s…

physics.soc-ph2020★ 10 cited

Spontaneous symmetry breaking of active phase in coevolving nonlinear voter model

Arkadiusz Jędrzejewski, Joanna Toruniewska, Krzysztof Suchecki +2

We study an adaptive network model driven by a nonlinear voter dynamics. Each node in the network represents a voter and can be in one of two states that correspond to different op…