Associate Professor
Department of Physics
Chungbuk National University

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

Complex Systems, Statistical Physics, Network Theory

google scholar

1. B. Min, Coevolutionary dynamics of group interactions: coevolving nonlinear voter models, Front. Complex Syst. 1, 1298265 (2023); arXiv:2311.05882
2. J. Choi and B. Min, Coevolutionary dynamics of information spreading and heterophilic link rewiring, New Phys.: Sae Mulli 73(10), 886 (2023); arXiv:2309.07490
3. B. Min and M. San Miguel, Threshold cascade dynamics on coevolving networks, Entropy 25(6), 929 (2023); arXiv:2305.13965
4. 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
5. 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
6. J. Choi and B. Min, Identifying influential subpopulations in metapopulation epidemic models using message-passing theory, Phys. Rev. E 105, 044308 (2022); arXiv:2112.05879
7. S. Lee, B. Min, and J. Bang, Substrate effect on hydrogen evolution reaction in two-dimensional Mo2C monolayers, Sci. Rep. 12, 6076 (2022); rs-954700
8. J. Kook, J. Choi, and B. Min, Double transitions and hysteresis in heterogeneous contagion processes, Phys. Rev. E 104, 044306 (2021); arXiv:2104.09070
9. B. Min, Interplay between degree and Boolean rules in the stability of Boolean networks, Chaos 30, 093121 (2020); arXiv:2005.11897
10. B. Min and C. Castellano, Message-passing theory of cooperative epidemics, Chaos 30, 023131 (2020); arXiv:1912.01179
11. B. Min and M. San Miguel, Multilayer coevolution dynamics of the nonlinear voter model, New J. Phys. 21, 035004 (2019); arXiv:1811.12136
12. T. Raducha, B. Min, and M. San Miguel, Coevolving nonlinear voter model with triadic closure, EPL (Europhys. Lett.) 123, 30001 (2018); arXiv:1807.01089
13. B. Min and M. San Miguel, Competition and dual users in complex contagion processes, Sci. Rep. 8, 14580 (2018); arXiv:1801.09464
14. B. Min and M. San Miguel, Competing contagion processes: complex contagion triggered by simple contagion, Sci. Rep. 8, 10422 (2018); arXiv:1712.05059
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. Zheng, Correlated network of networks enhances robustness against catastrophic failures, PLoS ONE 13(4), e0195539 (2018); arXiv:1711.05317
17. B. Min, Identifying an influential spreader from a single seed in complex networks via a message-passing approach, Eur. Phys. J. B 91, 18 (2018); arXiv:1710.07064
18. B. Min and M. San Miguel, Fragmentation transitions in a coevolving nonlinear voter model, Sci. Rep. 7, 12864 (2017); arXiv:1707.08111
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. B. Min and K.-I. Goh, Multiple resource demands and viability in multiplex networks, Phys. Rev. E 89, 040802(R) (2014); arXiv:1401.1587
28. 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
29. 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
30. B. Min, K.-I. Goh, and A. Vazquez, Spreading dynamics following bursty human activity patterns, Phys. Rev. E 83, 036102 (2011); arXiv:1006.2643
31. 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
32. 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
33. 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

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).