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20242026
most citedImproving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning

2 citations · 3 across the 9 of their papers we have counts for

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physics.soc-ph2026

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…

physics.soc-ph2026

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…

physics.soc-ph2026

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…

physics.soc-ph2026

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…

physics.soc-ph2026

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…