Research Interests

Group Member

Publications

Park, J., Lee, Y., Yang, D., Park, J. and Jung, H. (2024+) Artwork Pricing Model Integrating the Popularity and Ability of Artists, AStA Advances in Statistical Analysis, accepted. [link] 

Bae, Y., Jung, H., Shin, N., Rahmati, M., Udeh, R., Kazemi, A., Li, Y., Solmi, M., Syafrudin, M., Fitriyani, N. L., Fond, G., Boyer, L. and Lee, S.W. (2024) Musculoskeletal Morbidity in Adults with Spinal Cord Injuries: A Nationwide Cohort Study, NeuroRehabilitation, Vol.54, No.5, pp.599-610 [link] 

Lee, Y. and Jung, H., (2023) Keyword Analysis of Twitter Data on New Digital Technology through Topic Modeling and ERGM, Journal of The Korean Data Analysis Society, Vol.25, No.6, pp.2093-2107 [link]

Lee, S. and Jung, H., (2023) Analysis of Korea and Global Monopoly Research Trends Using Topic Modeling and Time-Series Analysis, Journal of The Korean Data Analysis Society, Vol.25, No.5, pp.1683-1699 [link]

Jung, H., (2023) Eliminating the Biases of User Influence and Item Popularity in Bipartite Networks: A Case Study of Flickr and Netflix, Physica A: Statistical Mechanics and its Applications, Vol.618, pp.128695:1-128695:14 [link] 

Kim, D., Lee, S. and Jung, H., (2023) A Time-Series Model for Varying Worker Ability in Heterogeneous Distributed Computing Systems, Applied Sciences, Vol.13, No.8, pp.4993:1-4993:18 [link] 

Jung, H., Phoa, F.K.H. and Ashouri, M. (2022) A Leading Author Model for the Popularity Effect on Scientific Collaboration, Complex Networks & Their Applications X, pp.424-437 [link] 

Jung, H. and Phoa, F.K.H. (2021) On the Effects of Capability and Popularity on Network Dynamics with Applications to YouTube and Twitch Networks, Physica A: Statistical Mechanics and its Applications, Vol.571, pp.125663:1-125663:11 [link]

Jung, H. and Phoa, F.K.H. (2021) A Mixture Model of Truncated Zeta Distributions with Applications to Scientific Collaboration Networks, Entropy, Vol.23, No.5, pp.502:1-502:16 [link] 

Jung, H. and Phoa, F.K.H. (2021) Analysis of a Finite Mixture of Truncated Zeta Distributions for Degree Distribution, Complex Networks & Their Applications IX, pp.497-507 [link] 

Jung, H., Lee, J-G., Lee, N. and Kim, S-H. (2020) PTEM: A Popularity-based Topical Expertise Model for Community Question Answering, Annals of Applied Statistics, Vol.14, No.3, pp.1304-1325 [link] [code] 

Jung, H., Lee, J-G. and Kim, S-H. (2020) On the Analysis of Fitness Change: Fitness-Popularity Dynamic Network Model with Varying Fitness, Journal of Statistical Mechanics: Theory and Experiment, Vol.2020, No.4, pp.043407:1-043407:21 [link] 

Lee, J., Jang, G., Jung, H., Lee, J-G. and Lee, U. (2019) Maximizing MapReduce Job Speed and Reliability in the Mobile Cloud by Optimizing Task Allocation, Pervasive and Mobile Computing, Vol.60, pp.101082:1-101082:24 [link] 

Jung, H., Lee, J-G., Lee, N. and Kim, S-H. (2018) Comparison of Fitness and Popularity: Fitness-Popularity Dynamic Network Model, Journal of Statistical Mechanics: Theory and Experiment, Vol.2018, No.12, pp.123403:1-123403:15 [link] [code] 

Talks

Analysis of Popularity Bias in Bipartite Networks with Applications to Flickr and Netflix, The 12th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS 2023), 2023 [link] 

Evaluation of Topic Models using Perplexity and Coherence Score (혼란도와 응집성지수를 활용한 토픽모델 평가), Korea Institute of S&T Evaluation and Planning, 2023

Hypergraph Model with Preferential Attachment for Scientific Collaborations, The 64th ISI World Statistics Congress (ISI WSC 2023), 2023 [link] 

Growth Model for Scientific Collaboration Hypergraphs, 2022 Winter Conference of the Korean Data Analysis Society, 2023 [link] 

R&D Trend Analysis through Text Mining, Korea Institute of S&T Evaluation and Planning, 2022

Looking at Network Science through the Lens of Statistics (통계학으로 보는 네트워크 과학), Chonnam National University, 2022 [link]

Data-based Global R&D Trend Analysis (데이터 기반의 글로벌 R&D 동향 분석), Korea Institute of S&T Evaluation and Planning, 2022

Eliminating the Biases of User Influence and Item Popularity in Bipartite Networks, The 24th International Conference on Computational Statistics (COMPSTAT 2022), 2022 [link] 

Bayesian Approach for Eliminating User Influence and Item Popularity Biases in User-Item Bipartite Networks, 2022 Summer Conference of the Korean Data Analysis Society, 2022 [link] 

Statistical Approach to Quantifying Popularity Effect in Social Communities, Yonsei University, 2022 [link] 

A Preferential Attachment Model of Growing Hypergraphs, The 11th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS 2022), 2022 [link] 

A Popularity-based Topical Expertise Model for Community Question Answering, Young Statistician's Meeting 2021 of the Korean Statistical Society, 2021

Analysis of Policy Trends via Topic Modeling, Korea Institute of S&T Evaluation and Planning, 2021

A Preferential Attachment Model of Growing Hypergraphs, Networks 2021: A Joint Sunbelt and NetSci Conference, 2021 [link] 

A Rich-Get-Richer Effect on Network Growth with Node Heterogeneity, South Taiwan Statistics Conference, 2020 [link] 

The Analysis of Popularity Effect on Network Dynamics, Sunbelt 2020 International Conference on Social Network Analysis, 2020 [link] 

Statistical Analysis of Rich-get-richer and Fit-get-richer Effects on Dynamic Networks, 2019 Spring Conference of the Korean Statistical Society, 2019 [link]

Projects

A Study on the Effects of Rich-get-richer and Node Fitness in the Growth of Generalized Networks, National Research Foundation of Korea (NRF), 2021-2024

Labelling R&D Projects Using Topic Models, Korea Institute of S&T Evaluation and Planning (KISTEP), 2023

Discovering Emerging Signals Based on Publications Data, National Nanotechnology Policy Center at the Korea Institute of Materials Science (KIMS), 2023

Keyword Analysis of Major Nanomaterials by Application Areas, National Nanotechnology Policy Center at the Korea Institute of Materials Science (KIMS), 2022

Analysis of R&D Trends in the Post-Corona Era Considering Future Risk Scenarios, Korea Institute of S&T Evaluation and Planning (KISTEP), 2022

Electrical Fire Prevention System with IoT and Artificial Intelligence, Ministry of Land, Infrastructure and Transport (MOLIT), 2021-2022

Analysis of R&D Trends in the Future Promising Technology 2022 via Extracting Keywords, Korea Institute of S&T Evaluation and Planning (KISTEP), 2021

Analysis of R&D Trends in the Field of Climate Change Adaptation via Extracting Keywords, Korea Institute of S&T Evaluation and Planning (KISTEP), 2021

Recent Developments in Network Data Analysis and Their Applications in Science, Industry and Government, Ministry of Science and Technology of Taiwan (MOST), 2019-2020