268 citations · 1.4k across the 30 of their papers we have counts for
31 papers
Dynamical processes and emergent behaviors in multiplex networks
Federico Battiston, Mattia Frasca, Jesus Gómez-Gardeñes +4
Over the last two decades, network science has greatly advanced our understanding of how the collective behaviors of a complex system emerge from the interactions among its basic u…
Threshold cascade dynamics on coevolving networks
Byungjoon Min, Maxi San Miguel
We study the coevolutionary dynamics of network topology and social complex contagion using a threshold cascade model. Our coevolving threshold model incorporates two mechanisms: t…
Critical behaviors of cascading dynamics on multiplex two-dimensional lattices
Jeehye Choi, Byungjoon Min, K. -I. Goh
We study the critical phenomena of viable clusters in multiplex two-dimensional lattices using numerical simulations. We identify viable sites on multiplex lattices using two casca…
Threshold cascade dynamics on signed random networks
Kyu-Min Lee, Sungmin Lee, Byungjoon Min +1
Relationships between individuals in a social network, genes in biological systems, and spins in magnetic systems often reflect a mixture of positive (friendly) and negative (antag…
Identifying influential subpopulations in metapopulation epidemic models using message-passing theory
Jeehye Choi, Byungjoon Min
Identifying influential subpopulations in metapopulation epidemic models has far-reaching potential implications for surveillance and intervention policies of a global pandemic. Ho…
Double transitions and hysteresis in heterogeneous contagion processes
Joongjae Kook, Jeehye Choi, Byungjoon Min
In many real-world contagion phenomena, the number of contacts to spreading entities for adoption varies for different individuals. Therefore, we study a model of contagion dynamic…
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…
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…
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…
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…
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…
Competition and dual users in complex contagion processes
Byungjoon Min, Maxi San Miguel
We study the competition of two spreading entities, for example innovations, in complex contagion processes in complex networks. We develop an analytical framework and examine the…
Competing contagion processes: Complex contagion triggered by simple contagion
Byungjoon Min, Maxi San Miguel
Empirical evidence reveals that contagion processes often occur with competition of simple and complex contagion, meaning that while some agents follow simple contagion, others fol…
Correlated network of networks enhances robustness against catastrophic failures
Byungjoon Min, Muhua Zheng
Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between…
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…
Fragmentation transitions in a coevolving nonlinear voter model
Byungjoon Min, Maxi San Miguel
We study a coevolving nonlinear voter model describing the coupled evolution of the states of the nodes and the network topology. Nonlinearity of the interaction is measured by a p…
Model of Brain Activation Predicts the Neural Collective Influence Map of the Brain
Flaviano Morone, Kevin Roth, Byungjoon Min +2
Efficient complex systems have a modular structure, but modularity does not guarantee robustness, because efficiency also requires an ingenious interplay of the interacting modular…
Synchronized and mixed outbreaks of coupled recurrent epidemics
Muhua Zheng, Ming Zhao, Byungjoon Min +1
Epidemic spreading has been studied for a long time and most of them are focused on the growing aspect of a single epidemic outbreak. Recently, we extended the study to the case of…
Collective Influence Algorithm to find influencers via optimal percolation in massively large social media
Flaviano Morone, Byungjoon Min, Lin Bo +2
We elaborate on a linear time implementation of the Collective Influence (CI) algorithm introduced by Morone, Makse, Nature 524, 65 (2015) to find the minimal set of influencers in…
Emergence of Robustness in Network of Networks
Kevin Roth, Flaviano Morone, Byungjoon Min +1
A model of interdependent networks of networks (NoN) has been introduced recently in the context of brain activation to identify the neural collective influencers in the brain NoN.…
Finding influential spreaders from human activity beyond network location
Byungjoon Min, Fredrik Liljeros, Hernán A. Makse
Most centralities proposed for identifying influential spreaders on social networks to either spread a message or to stop an epidemic require the full topological information of th…
Towards real-world complexity: an introduction to multiplex networks
Kyu-Min Lee, Byungjoon Min, Kwang-Il Goh
Many real-world complex systems are best modeled by multiplex networks of interacting network layers. The multiplex network study is one of the newest and hottest themes in the sta…
Link overlap, viability, and mutual percolation in multiplex networks
Byungjoon Min, Sangchul Lee, Kyu-Min Lee +1
Many real-world complex systems are best modeled by multiplex networks. The multiplexity has proved to have broad impact on the system's structure and function. Most theoretical st…
Multiple resource demands and viability in multiplex networks
Byungjoon Min, K. -I. Goh
Many complex systems demand manifold resources to be supplied from distinct channels to function properly, i.e, water, gas, and electricity for a city. Here, we study a model for v…