H
Hyunggyu Park
Researcher at Korea Institute for Advanced Study
Publications - 118
Citations - 2276
Hyunggyu Park is an academic researcher from Korea Institute for Advanced Study. The author has contributed to research in topics: Phase transition & Directed percolation. The author has an hindex of 24, co-authored 118 publications receiving 2007 citations. Previous affiliations of Hyunggyu Park include Inha University & Carnegie Mellon University.
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Factors that predict better synchronizability on complex networks.
TL;DR: The betweenness centrality is proposed as a good indicator for synchronizability and investigated the effects of various factors such as the degree, characteristic path length, heterogeneity, and betweennesscentrality on synchronization to find a consistent trend between the synchronization and the betweennessCentrality.
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The statistical mechanics of the coagulation–diffusion process with a stochastic reset
TL;DR: In this article, the effects of a stochastic reset to its initial configuration in the exactly solvable one-dimensional coagulation diffusion process were studied, and a simple physical picture emerged: the reset mainly changes the behaviour at larger distance scales, while at smaller length scales, the non-trivial correlation of the model without a reset dominate.
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Entrainment transition in populations of random frequency oscillators.
TL;DR: Simulations of locally coupled oscillators in d dimensions reveal two types of frequency entrainment: mean-field behavior at d>4 and aggregation of compact synchronized domains in three and four dimensions.
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Collective synchronization in spatially extended systems of coupled oscillators with random frequencies.
TL;DR: Collective behavior of locally coupled limit-cycle oscillators with random intrinsic frequencies, spatially extended over d -dimensional hypercubic lattices is studied and critical behavior near the synchronization transition into the fully random phase is unveiled via numerical investigation.
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Finite-size scaling in complex networks.
TL;DR: A finite-size-scaling (FSS) theory is proposed for various models in complex networks and based on the droplet-excitation (hyperscaling) argument, the values of the FSS exponents for the Ising model, the susceptible-infected-susceptible model, and the contact process are conjecture.