Hang-Hyun Jo

Assistant Professor

The Catholic University of Korea

South Korea

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About

Hang-Hyun Jo is an Assistant Professor at the Catholic University of Korea. His research focuses on statistical analysis of time series data, including autocorrelation functions, bursty time series, and community organization within ICT services. He has published numerous articles on topics such as COVID-19 transmission dynamics and human mobility patterns in urban environments.

Articles (18)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

Kunal Bhattacharya

Aalto University

FINLAND

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Inho Hong

Assistant Professor

Chonnam National University

SOUTH KOREA

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Young-Ho Eom

SOUTH KOREA

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Naoki Masuda

Professor

University at Buffalo

UNITED STATES

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Takayuki Hiraoka

Aalto University

FINLAND

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Hang-Hyun Jo

Research Interests

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About

Articles (18)

Analysis of the autocorrelation function for time series with higher-order temporal correlations: An exponential case

Homophilic organization of egocentric communities in ICT services

Maximum likelihood estimation of burst-merging kernels for bursty time series

Burst-tree structure and higher-order temporal correlations

Temporal scaling theory for bursty time series with clusters of arbitrarily many events

Exact solutions of the simplified March model for organizational learning

Statistical properties of COVID-19 transmission intervals in Republic of Korea

Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea

Multiple gravity laws for human mobility within cities

Copula-based analysis of the autocorrelation function for simple temporal networks

Copula-based analysis of the generalized friendship paradox in clustered networks

Analytical approach to the generalized friendship paradox in networks with correlated attributes

Numerical study on the deadline-concerning priority queuing model

Individual-driven versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history

Finite-size effects on the convergence time in continuous-opinion dynamics

Impact of environmental changes on the dynamics of temporal networks

Internal migration and mobile communication patterns among pairs with strong ties

Burst-tree decomposition of time series reveals the structure of temporal correlations

Collaborators (5)

Kunal Bhattacharya

Inho Hong

Young-Ho Eom

Naoki Masuda

Takayuki Hiraoka

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