activity
19992026
most citedError and attack tolerance of complex networks

7.4k citations · 26.4k across the 82 of their papers we have counts for

collaborators

83 papers

physics.soc-ph2026

Social Physics: A manifesto

János Kertész, Marc Barthelemny, Marc Barthelemy +21

Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neithe…

cond-mat.soft2026

Mass-induced Mpemba effect in a polymer-bead system

Hosung Kwak, Yongjoo Baek, Hawoong Jeong

We propose a physically motivated model in which the Mpemba effect is induced by the system's inertia. The model describes a polymer undergoing a denaturation transition whose forc…

physics.soc-ph2023

Hidden multiscale organization and robustness of real multiplex networks

Gangmin Son, Meesoon Ha, Hawoong Jeong

Hidden geometry enables the investigation of complex networks at different scales. Extending this framework to multiplex networks, we uncover a novel kind of mesoscopic organizatio…

cs.LG2022

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning

Yeongwoo Song, Hawoong Jeong

Recent advances in deep learning for physics have focused on discovering shared representations of target systems by incorporating physics priors or inductive biases into neural ne…

cs.LG2022★ 2 cited

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network

Seungwoong Ha, Hawoong Jeong

Dynamical systems with interacting agents are universal in nature, commonly modeled by a graph of relationships between their constituents. Recently, various works have been presen…

cs.LG2022★ 1 cited

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning

Seungwoong Ha, Hawoong Jeong

How have individuals of social animals in nature evolved to learn from each other, and what would be the optimal strategy for such learning in a specific environment? Here, we addr…