2 citations · 3 across the 9 of their papers we have counts for
9 papers
Inferring Coupling Strength from the Kuramoto Order Parameter
Gug Young Kim, Hoseok Sul, Jee Woong Choi +1
Accurately estimating the coupling strength in oscillator networks from macroscopic observations is essential for predicting synchronization transitions. We consider the inverse pr…
Editorial Trajectories in Wikipedia Reflect Underlying Hyperlink Structure
Yeonji Seo, Mi Jin Lee, Seung-Woo Son +2
Wikipedia hyperlinks have primarily been studied as navigational tools for readers, but their role in how information providers move between articles during editing remains less ex…
Scale-freeness under node removal: a finite-size scaling perspective
Yeonsu Jeong, Deok-Sun Lee, Mi Jin Lee +1
In heterogeneous network systems such as ecological and social networks, structural stability depends on how connectivity changes under node removal, as different removal sequences…
Age structure alters optimal hospital allocation for reducing tuberculosis fatalities in South Korea
Yongsung Kwon, Deok-Sun Lee, Mi Jin Lee +1
Optimal healthcare allocation requires accounting for spatial heterogeneity in disease burden, while demographic heterogeneity may further alter local vulnerability when outcomes v…
Structure of Pitch-Pattern Motifs in Major League Baseball
Youngjai Park, Cheawoon Lim, Seung-Woo Son +1
Baseball consists of two teams alternating between batting and fielding while competing to score runs through sequential pitching events. Recent advances in tracking technology hav…
Predicting the Oscillatory Regimes of Global Synchrony Induced by Secondary Clusters
Gug Young Kim, Mi Jin Lee, Seung-Woo Son
Synchronization systems with effective inertia, such as power grid networks and coupled electromechanical oscillators, are commonly modeled by the second-order Kuramoto model. In t…
Quantifying Traffic Patterns with Percolation Theory: A Case Study of Seoul Roads
Yongsung Kwon, Mi Jin Lee, Seung-Woo Son
Urban traffic systems are characterized by dynamic interactions between congestion and free-flow states, influenced by human activity and road topology. This study employs percolat…
A Computational Analysis of Traffic Cluster Dynamics Using a Percolation-Based Approach in Urban Road Networks
Yongsung Kwon, Minjin Lee, Mi Jin Lee +1
Understanding the dynamics of traffic clusters is crucial for enhancing urban transportation systems, particularly in managing congestion and free-flow states. This study applies c…
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning
Sangjoon Park, Yongsung Kwon, Hyungjoon Soh +2
Predicting temporal patterns across various domains poses significant challenges due to their nuanced and often nonlinear trajectories. To address this challenge, prediction framew…