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Byungjoon Min (민병준)

Associate Professor
Department of Physics
Chungbuk National University

Contact Address

Department of Physics
Chungbuk National University
Chungdae-ro 1, Seowon-Gu
Cheongju, Chungbuk 28644, Korea (google maps)
email: bmin(at)cbnu.ac.kr

Research Interests

Complex Systems, Statistical Physics, Network Theory

Publications
Papers
  1. H. Jang, G. Bianconi, and B. Min, Feedback percolation on complex networks (2026).
  2. B. Min, J. Choi, and R. Laubenbacher, Dynamics of attractor transitions in Boolean networks under noise, Chaos 36, 023142 (2026); arXiv:2506.15581
  3. B. Min and M. San Miguel, Aging in coevolving voter models, Chaos, Solitons and Fractals 196, 116344 (2025); arXiv:2502.03597
  4. J. Choi, B. Min, and T. Galla, Analysis of a voter model with an evolving number of opinion states, Phys. Rev. E 111, 064303 (2025); arXiv:2502.14696
  5. J. Kim, D.-S. Lee, B. Min, M. A. Porter, M. San Miguel, and K.-I. Goh, Competition between group interactions and nonlinearity in voter dynamics on hypergraphs, Phys. Rev. E 111, L052301 (2025); arXiv:2407.11261
  6. B. Min, E.-K. Park, S.-H. Gwak, and K.-I. Goh, No-exclaves percolation on random networks, Chaos, Solitons and Fractals 184, 115004 (2024); arXiv:2402.03689
  7. B. Min and M. San Miguel, Threshold cascade dynamics on coevolving networks, Entropy 25(6), 929 (2023); arXiv:2305.13965
  8. J. Choi, B. Min, and K.-I. Goh, Critical behaviors of cascading dynamics on multiplex two-dimensional lattices, J. Korean Phys. Soc. 82, 1216 (2023); arXiv:2302.02576
  9. K.-M. Lee, S. Lee, B. Min, and K.-I. Goh, Threshold cascade dynamics on signed random networks, Chaos, Solitons and Fractals 168, 113118 (2023); arXiv:2210.02011
  10. J. Kook, J. Choi, and B. Min, Double transitions and hysteresis in heterogeneous contagion processes, Phys. Rev. E 104, 044306 (2021); arXiv:2104.09070
  11. B. Min and C. Castellano, Message-passing theory of cooperative epidemics, Chaos 30, 023131 (2020); arXiv:1912.01179
  12. B. Min and M. San Miguel, Multilayer coevolution dynamics of the nonlinear voter model, New J. Phys. 21, 035004 (2019); arXiv:1811.12136
  13. T. Raducha, B. Min, and M. San Miguel, Coevolving nonlinear voter model with triadic closure, EPL (Europhys. Lett.) 123, 30001 (2018); arXiv:1807.01089
  14. B. Min and M. San Miguel, Competition and dual users in complex contagion processes, Sci. Rep. 8, 14580 (2018); arXiv:1801.09464
  15. G. Del Ferraro, et al., B. Min (3rd), et al., Finding influential nodes for integration in brain networks using optimal percolation theory, Nat. Commun. 9, 2274 (2018); arXiv:1806.07903
  16. B. Min and M. San Miguel, Fragmentation transitions in a coevolving nonlinear voter model, Sci. Rep. 7, 12864 (2017); arXiv:1707.08111
  17. K. Roth, F. Morone, B. Min, and H. A. Makse, Emergence of robustness in networks of networks, Phys. Rev. E 95, 062308 (2017); arXiv:1602.06238
  18. M. Zheng, M. Zhao, B. Min, and Z. Liu, Synchronized and mixed outbreaks of coupled recurrent epidemics, Sci. Rep. 7, 2424 (2017); arXiv:1610.02528
  19. F. Morone, K. Roth, B. Min, H. E. Stanley, and H. A. Makse, Model of brain activation predicts the neural collective influence map of the brain, Proc. Nat. Acad. Sci. USA 114 (15), 3849 (2017); arXiv:1704.04626
  20. F. Morone, B. Min, L. Bo, R. Mari, and H. A. Makse, Collective influence algorithm to find influencers via optimal percolation in massively large social media, Sci. Rep. 6, 30062 (2016); arXiv:1603.08273
  21. B. Min, S.-H. Gwak, N. Lee, and K.-I. Goh, Layer-switching cost and optimality in information spreading on multiplex networks, Sci. Rep. 6, 21392 (2016); arXiv:1307.2967
  22. B. Min, F. Liljeros, and H. A. Makse, Finding influential spreaders from human activity beyond network location, PLoS ONE 10(8), e0136831 (2015); arXiv:1507.01380
  23. K.-M. Lee, B. Min, and K.-I. Goh, Towards real-world complexity: an introduction to multiplex networks, Eur. Phys. J. B 88, 48 (2015); arXiv:1502.03909
  24. B. Min, S. Lee, K.-M. Lee, and K.-I. Goh, Link overlap, viability, and mutual percolation in multiplex networks, Chaos, Solitons and Fractals 72, 49 (2015); arXiv:1407.8513
  25. B. Min and K.-I. Goh, Multiple resource demands and viability in multiplex networks, Phys. Rev. E 89, 040802(R) (2014); arXiv:1401.1587
  26. B. Min, S.-D. Yi, K.-M. Lee, and K.-I. Goh, Network robustness of multiplex networks with interlayer degree correlations, Phys. Rev. E 89, 042811 (2014); arXiv:1307.1253
  27. B. Min, K.-I. Goh, and I.-M. Kim, Suppression of epidemic outbreaks with heavy-tailed contact dynamics, EPL (Europhys. Lett.) 103, 50002 (2013); arXiv:1303.4504
  28. B. Min, K.-I. Goh, and A. Vazquez, Spreading dynamics following bursty human activity patterns, Phys. Rev. E 83, 036102 (2011); arXiv:1006.2643
  29. W.-k. Cho, B. Min, K.-I. Goh, and I.-M. Kim, Generalized priority-queue network dynamics: Impact of team and hierarchy, Phys. Rev. E 81, 066109 (2010); arXiv:0909.1461
  30. B. Min, K.-I. Goh, and I.-M. Kim, Noise characteristics of molecular oscillations in simple genetic oscillatory systems, J. Korean Phys. Soc. 56, 911 (2010); arXiv:0909.1411
  31. B. Min, K.-I. Goh, and I.-M. Kim, Waiting time dynamics of priority-queue networks, Phys. Rev. E 79, 056110 (2009); arXiv:0903.0704
Book Chapters
  1. B. Min and K.-I. Goh, Burstiness: Measures, models, and dynamic consequences, in Temporal Networks, P. Holme and J. Saramäki (Ed), Springer (2013).
  2. B. Min, K.-I. Goh, and I.-M. Kim, Dynamics of priority-queue networks, in Complex Sciences, J. Zhou (Ed), Springer (2009).