activity
20162020
most citedIdentifying an influential spreader from a single seed in complex networks via a message-passing approach

55 citations · 144 across the 3 of their papers we have counts for

collaborators

8 papers

nlin.AO2020

Interplay between degree and Boolean rules in the stability of Boolean networks

Byungjoon Min

Empirical evidence has revealed that biological regulatory systems are controlled by high-level coordination between topology and Boolean rules. In this study, we study the joint e…

physics.soc-ph201943 cited

Message-passing theory for cooperative epidemics

Byungjoon Min, Claudio Castellano

The interaction among spreading processes on a complex network is a nontrivial phenomenon of great importance. It has recently been realized that cooperative effects among infectiv…

nlin.AO2018

Multilayer coevolution dynamics of the nonlinear voter model

Byungjoon Min, Maxi San Miguel

We study a coevolving nonlinear voter model on a two-layer network. Coevolution stands for coupled dynamics of the state of the nodes and of the topology of the network in each lay…

physics.soc-ph2018

Coevolving nonlinear voter model with triadic closure

Tomasz Raducha, Byungjoon Min, Maxi San Miguel

We study a nonlinear coevolving voter model with triadic closure local rewiring. We find three phases with different topological properties and configuration in the steady state: a…

q-bio.NC2018

Finding influential nodes for integration in brain networks using optimal percolation theory

Gino Del Ferraro, Andrea Moreno, Byungjoon Min +7

Global integration of information in the brain results from complex interactions of segregated brain networks. Identifying the most influential neuronal populations that efficientl…

physics.soc-ph201755 cited

Identifying an influential spreader from a single seed in complex networks via a message-passing approach

Byungjoon Min

Identifying the most influential spreaders is one of outstanding problems in physics of complex systems. So far, many approaches have attempted to rank the influence of nodes but t…