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physics.soc-ph2026
Quantifying concurrency in event-based temporal network and hypergraph data
Jiyoung Kang, Hang-Hyun Jo, Naoki Masuda
Many social, biological, and technological systems are recorded as sequences of time-stamped interactions. In such systems, concurrency, i.e., the tendency for an individual to par…
physics.soc-ph2026
Modeling non-Poissonian temporal hypergraphs by Markovian node dynamics
Hang-Hyun Jo, Naoki Masuda
Temporal hypergraphs capture time-resolved group interactions among nodes. Empirical data support that time-stamped group interactions show bursty event sequences and non-trivial t…
physics.soc-ph2024
Exact solutions of the simplified March model for organizational learning
Hang-Hyun Jo
James G. March's celebrated agent-based simulation model for organizational learning [March, Organization Science \textbf{2}, 71 (1991)] has been extensively studied for the last d…