Publications

Book

1. M. Karsai, H.-H. Jo, and K. Kaski, Bursty Human Dynamics, Springer International Publishing (2018) [arXiv:1803.02580]

Peer Reviewed Journal Publications

1. H.-H. Jo, Copula-based analysis of the autocorrelation function for simple temporal networks, Journal of the Korean Physical Society 82, 430-435 (2023) [arXiv:2211.10042]

2. O. Kwon and H.-H. Jo, Clustering and link prediction for mesoscopic COVID-19 transmission networks in Republic of Korea, Chaos: An Interdisciplinary Journal of Nonlinear Science 33, 013107 (2023)

   • Featured in the AIP Publishing Showcase on Kudos (8 January 2023)

3. H.-H. Jo, E. Lee, and Y.-H. Eom, Copula-based analysis of the generalized friendship paradox in clustered networks, Chaos: An Interdisciplinary Journal of Nonlinear Science 32, 123139 (2022) [arXiv:2208.07009]

   • Featured in the AIP Publishing Showcase on Kudos (26 December 2022)

4. H.-H. Jo, E. Lee, and Y.-H. Eom, Analytical approach to the generalized friendship paradox in networks with correlated attributes, Physical Review E 104, 054301 (2021) [arXiv:2107.05838]

5. Y. Murase, H.-H. Jo, J. Torok, J. Kertesz, and K. Kaski, Deep learning exploration of agent-based social network model parameters, Frontiers in Big Data 4, 739081 (2021) [arXiv:2107.06507, code]

6. J. Choi, T. Hiraoka, and H.-H. Jo, Individual-driven versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history, Physical Review E 104, 014312 (2021) [arXiv:2011.01562, data]

7. H.-H. Jo and N. Masuda, Finite-size effects on the convergence time in continuous-opinion dynamics, Physical Review E 104, 014309 (2021) [arXiv:2103.06055]

8. H.-H. Jo, Numerical study on the deadline-concerning priority queuing model, Journal of the Korean Physical Society 79, 407 (2021) [arXiv:2105.14718]

9. H. Kim, H.-H. Jo, and H. Jeong, Impact of environmental changes on the dynamics of temporal networks, PLoS ONE 16, e0250612 (2021) [arXiv:2001.02847]

10. M.I.D. Fudolig, D. Monsivais, K. Bhattacharya, H.-H. Jo, and K. Kaski, Internal migration and mobile communication patterns among pairs with strong ties, EPJ Data Science 10, 16 (2021) [arXiv:2009.00252]

11. H.-H. Jo, T. Hiraoka, and M. Kivela, Burst-tree decomposition of time series reveals the structure of temporal correlations, Scientific Reports 10, 12202 (2020) [arXiv:1907.13556, code]

12. T. Hiraoka, N. Masuda, A. Li, and H.-H. Jo, Modeling temporal networks with bursty activity patterns of nodes and links, Physical Review Research 2, 023073 (2020) [arXiv:1912.11212]

13. M.I.D. Fudolig, D. Monsivais, K. Bhattacharya, H.-H. Jo, and K. Kaski, Different patterns of social closeness observed in mobile phone communication, Journal of Computational Social Science 3, 1-17 (2020) [arXiv:1808.10166]

14. M.I.D. Fudolig, K. Bhattacharya, D. Monsivais, H.-H. Jo, and K. Kaski, Link-centric analysis of variation by demographics in mobile phone communication patterns, PLoS ONE 15, e0227037 (2020) [arXiv:1907.13334]

15. H.-H. Jo, B.-H. Lee, T. Hiraoka, and W.-S. Jung, Copula-based algorithm for generating bursty time series, Physical Review E 100, 022307 (2019) [arXiv:1904.08795]

16. E. Lee, F. Karimi, C. Wagner, H.-H. Jo, M. Strohmaier, and M. Galesic, Homophily and minority-group size explain perception biases in social networks, Nature Human Behaviour 3, 1078-1087 (2019) [arXiv:1710.08601]

    • Featured in Phys.org (12 August 2019), Donga Science (13 August 2019), Ars Technica (5 January 2020)

17. H.-H. Jo, Analytically solvable autocorrelation function for weakly correlated interevent times, Physical Review E 100, 012306 (2019) [arXiv:1901.00982]

18. I. Hong, W.-S. Jung, and H.-H. Jo, Gravity model explained by the radiation model on a population landscape, PLoS ONE 14, e0218028 (2019) [arXiv:1803.09067]

19. Y. Murase, H.-H. Jo, J. Torok, J. Kertesz, and K. Kaski, Sampling networks by nodal attributes, Physical Review E 99, 052304 (2019) [arXiv:1902.04707]

20. E. Lee, S. Lee, Y.-H. Eom, P. Holme, and H.-H. Jo, Impact of perception models on friendship paradox and opinion formation, Physical Review E 99, 052302 (2019) [arXiv:1808.04170]

21. Y. Murase, H.-H. Jo, J. Torok, J. Kertesz, and K. Kaski, Structural transition in social networks: The role of homophily, Scientific Reports 9, 4310 (2019) [arXiv:1808:05035]

22. H.-H. Jo, Y.J. Kim, J.K. Kim, M. Foo, D.E. Somers, and P.-J. Kim, Waveforms of molecular oscillations reveal circadian timekeeping mechanisms, Communications Biology 1, 207 (2018) [arXiv:1811.10360, code]

23. T. Hiraoka and H.-H. Jo, Correlated bursts in temporal networks slow down spreading, Scientific Reports 8, 15321 (2018) [arXiv:1807.03169]

24. B.-H. Lee, W.-S. Jung, and H.-H. Jo, Hierarchical burst model for complex bursty dynamics, Physical Review E 98, 022316 (2018) [arXiv:1805.09554]

25. H.-H. Jo, Y. Murase, J. Torok, J. Kertesz, and K. Kaski, Stylized facts in social networks: Community-based static modeling, Physica A 500, 23-39 (2018) [arXiv:1611.03664]

26. H.-H. Jo and T. Hiraoka, Limits of the memory coefficient in measuring correlated bursts, Physical Review E 97, 032121 (2018) [arXiv:1801.01118]

27. H.-H. Jo, Modeling correlated bursts by the bursty-get-burstier mechanism, Physical Review E 96, 062131 (2017) [arXiv:1709.05150]

28. T. You, M. Kwon, H.-H. Jo, W.-S. Jung, and S.K. Baek, Chaos and unpredictability in evolution of cooperation in continuous time, Physical Review E 96, 062310 (2017) [arXiv:1712.05906]

29. J. Kwak, H.-H. Jo, T. Luttinen, and I. Kosonen, Jamming transitions induced by an attraction in pedestrian flow, Physical Review E 96, 022319 (2017) [arXiv:1701.06909]

30. H.-H. Jo and E. Moon, Dynamical complexity in the perception-based network formation model, Physica A 463, 282-292 (2016) [arXiv:1510.01039]

31. J. Torok, Y. Murase, H.-H. Jo, J. Kertesz, and K. Kaski, What Big Data tells: Sampling the social network by communication channels, Physical Review E 94, 052319 (2016) [arXiv:1511.08749]

32. E.-K. Kim and H.-H. Jo, Measuring burstiness for finite event sequences, Physical Review E 94, 032311 (2016) [arXiv:1604.01125]

33. P. Holme and H.-H. Jo, Collective decision making with a mix of majority and minority seekers, Physical Review E 93, 052308 (2016) [arXiv:1603.07842]

34. H.-H. Jo, J.I. Perotti, K. Kaski, and J. Kertesz, Correlated bursts and the role of memory range, Physical Review E 92, 022814 (2015) [arXiv:1505.02758]

35. J. Kwak, H.-H. Jo, T. Luttinen, and I. Kosonen, Effects of switching behavior for the attraction on pedestrian dynamics, PLoS ONE 10, e0133668 (2015) [arXiv:1410.2846]

36. Y. Murase, H.-H. Jo, J. Torok, J. Kertesz, and K. Kaski, Modeling the role of relationship fading and breakup in social network formation, PLoS ONE 10, e0133005 (2015) [arXiv:1505.00644]

    • Featured in UA Magazine (11 May 2015)

37. Y.-H. Eom and H.-H. Jo, Tail-scope: Using friends to estimate heavy tails of degree distributions in large-scale complex networks, Scientific Reports 5, 9752 (2015) [arXiv:1411.6871]

38. Y. Murase, J. Torok, H.-H. Jo, K. Kaski, and J. Kertesz, Multilayer weighted social network model, Physical Review E 90, 052810 (2014) [arXiv:1408.1190]

39. H.-H. Jo, J. Saramaki, R.I.M. Dunbar, and K. Kaski, Spatial patterns of close relationships across the lifespan, Scientific Reports 4, 6988 (2014) [arXiv:1407.4896]

40. V. Palchykov, M. Mitrovic, H.-H. Jo, J. Saramaki, and R.K. Pan, Inferring human mobility using communication patterns, Scientific Reports 4, 6174 (2014) [arXiv:1404.7675]

41. H.-H. Jo and Y.-H. Eom, Generalized friendship paradox in networks with tunable degree-attribute correlation, Physical Review E 90, 022809 (2014) [arXiv:1405.1279]

42. Y.-H. Eom and H.-H. Jo, Generalized friendship paradox in complex networks: The case of scientific collaboration, Scientific Reports 4, 4603 (2014) [arXiv:1401.1458]

    • Featured in MIT Technology Review (14 January 2014), The Washington Post - The Style Blog (14 January 2014), and The Independent (15 January 2014)

43. H.-H. Jo, J.I. Perotti, K. Kaski, and J. Kertesz, Analytically solvable model of spreading dynamics with non-Poissonian processes, Physical Review X 4, 011041 (2014) [arXiv:1309.0701]

44. J.I. Perotti, H.-H. Jo, A.L. Schaigorodsky, and O.V. Billoni, Innovation and nested preferential growth in chess playing behavior, EPL (Europhysics Letters) 104, 48005 (2013) [arXiv:1309.0336]

45. J. Kwak, H.-H. Jo, T. Luttinen, and I. Kosonen, Collective dynamics of pedestrians interacting with attractions, Physical Review E 88, 062810 (2013) [arXiv:1308.2321]

46. H.J. Park, H. Sim, H.-H. Jo, and B.J. Kim, Analysis of the one-dimensional Yut-Nori game: Winning strategy and avalanche-size distribution, Journal of the Korean Physical Society 63, 1497-1502 (2013) [arXiv:1305.2833]

47. H.-H. Jo, R.K. Pan, J.I. Perotti, and K. Kaski, Contextual analysis framework for bursty dynamics, Physical Review E 87, 062131 (2013) [arXiv:1303.4882]

48. H.-H. Jo and J.-Y. Kim, Competitive targeted marketing and technology diffusion, Sociological Theory and Methods 27, 277-297 (2012) [SSRN 2017293]

49. H.-H. Jo, M. Karsai, J. Karikoski, and K. Kaski, Spatiotemporal correlations of handset-based service usages, EPJ Data Science 1, 10 (2012) [arXiv:1204.2169]

50. H.-H. Jo, R.K. Pan, and K. Kaski, Time-varying priority queuing models for human dynamics, Physical Review E 85, 066101 (2012) [arXiv:1109.5990]

51. H.-H. Jo, M. Karsai, J. Kertesz, and K. Kaski, Circadian pattern and burstiness in mobile phone communication, New Journal of Physics 14, 013055 (2012) [arXiv:1101.0377]

    • Featured in Research Highlights, Nature 482, 134 (2012)

52. H.-H. Jo, E. Moon, and K. Kaski, Optimized reduction of uncertainty in bursty human dynamics, Physical Review E 85, 016102 (2012) [arXiv:1111.0033]

53. H.-H. Jo, R.K. Pan, and K. Kaski, Emergence of bursts and communities in evolving weighted networks, PLoS ONE 6, e22687 (2011) [arXiv:1106.0288]

54. H.-H. Jo and M. Ha, Universality classes and crossover behaviors in non-Abelian directed sandpiles, Physical Review E 82, 041101 (2010) [arXiv:1004.4861]

    • Figure in paper selected in PRE Kaleidoscope Images (October 2010)

55. H.-H. Jo and H.-C. Jeong, Comment on "Driving Sandpiles to Criticality and Beyond", Physical Review Letters 105, 019501 (2010)

56. H.-H. Jo, H.K. Lee, and H. Park, Collective helping and bystander effects in coevolving helping networks, Physical Review E 81, 066108 (2010) [arXiv:1003.5023]

57. J.-Y. Kim and H.-H. Jo, A signalling explanation for preferential attachment in the evolution of social networks, Journal of Evolutionary Economics 20, 375-393 (2010)

58. J.W. Lee, J.B. Park, H.-H. Jo, J.-S. Yang, and H.-T. Moon, Minimum entropy density method for the time series analysis, Physica A 388, 137-144 (2009) [arXiv:physics/0607282]

59. H.-H. Jo and M. Ha, Relevance of Abelian symmetry and stochasticity in directed sandpiles, Physical Review Letters 101, 218001 (2008) [arXiv:0807.1807]

    • Featured in Physics Plaza, Physics and High Technology 18(1-2), 66 (2009) [in Korean]

60. J.-S. Yang, J.-K. Choi, and H.-H. Jo, The coevolution of cooperation and trait distinction, Journal of the Chosun Natural Science 1, 5-13 (2008) [in Korean]

61. J.B. Park, J.W. Lee, J.-S. Yang, H.-H. Jo, and H.-T. Moon, Complexity analysis of the stock market, Physica A 379, 179-187 (2007) [arXiv:physics/0607283]

62. H.-H. Jo, S.Y. Kim, and K. Kim, Detrended fluctuation analysis in the Korean bond futures exchange market, Journal of the Korean Physical Society 49, 1691-1693 (2006)

63. H.-H. Jo, W.-S. Jung, and H.-T. Moon, Dynamics of helping behavior and networks in a small world, Physical Review E 74, 026120 (2006) [arXiv:physics/0603179]

64. H.-H. Jo, S.K. Baek, and H.-T. Moon, Immunization dynamics on a two-layer network model, Physica A 361, 534-542 (2006) [arXiv:cond-mat/0310372]

    • Featured in the article by Tom Siegfried: Who says physics is boring?

65. H.-H. Jo, W.-S. Jung, and H.-T. Moon, Rescue model for the bystanders' intervention in emergencies, EPL (Europhysics Letters) 73, 306-312 (2006) [arXiv:physics/0509095]

66. O. Kwon, H.-H. Jo, and H.-T. Moon, Effect of spatially correlated noise on coherence resonance in a network of excitable cells, Physical Review E 72, 066121 (2005) [arXiv:cond-mat/0506241]

Peer Reviewed Conference Proceedings

1. M.I.D. Fudolig, T. Hiraoka, P.E. Savage, and H.-H. Jo, Burstiness and hierarchy in tonal classical music, in the Late-Breaking Demo Session of the 22nd International Society for Music Information Retrieval Conference (ISMIR 2021)

2. J. Kwak, H.-H. Jo, T. Luttinen, and I. Kosonen, Impact of impulse stops on pedestrian flow, in Traffic and Granular Flow '15 edited by V. Knoop and W. Daamen, Springer (2016), pp. 177-184 [arXiv:1512.01429] 

3. J. Kwak, H.-H. Jo, T. Luttinen, and I. Kosonen, Modeling pedestrian switching behavior for attractions, Transportation Research Procedia 2, 612-617 (2014) for The Conference on Pedestrian and Evacuation Dynamics 2014 (PED2014)

4. H.-H. Jo and Y.-l. Ko, Large variance and fat tail of damage by natural disaster, Proceedings of the 2nd ICVRAM and the 6th ISUMA (2014), pp. 2744-2753 (2014) [arXiv:1407.6209]

5. J.B. Park, J.W. Lee, H.-H. Jo, J.-S. Yang, and H.-T. Moon, Complexity and entropy density analysis of the Korean stock market, Proceedings of the 9th Joint Conference on Information Sciences, art. no. CIEF-231 (2006)

Chapters and Articles

1. J. Kertesz, J. Torok, Y. Murase, H.-H. Jo, and K. Kaski, Modeling the complex network of social interactions, in Pathways Between Social Science and Computational Social Science edited by T. Rudas and G. Peli, Springer (2021), pp. 3-19

2. H.-H. Jo and T. Hiraoka, Bursty time series analysis for temporal networks, in Temporal Network Theory edited by P. Holme and J. Saramaki, Springer (2019), pp. 161-179 [arXiv:1907.12558]

3. G. Iniguez, H.-H. Jo, and K. Kaski, Special Issue "Computational Social Science" (Editorial), Information 10, 307 (2019)

4. J. Kertesz, J. Torok, Y. Murase, H.-H. Jo, and K. Kaski, Multiplex modeling of the society, in Multiplex and Multilevel Networks edited by S. Battiston, G. Caldarelli, and A. Garas, Oxford University Press (2018), pp. 84-100 [arXiv:1609.08381]

5. S. Chae, H.-H. Jo, and H.-T. Moon, Agent-based model and its applications, Physics and High Technology 16(10), 10-14 (2007) [in Korean]

6. H.-H. Jo and S. Chae, Complexity measure and Its applications, in Complexity Sciences Workshop edited by B.-W. Min and C.-W. Kim, Samsung Economic Research Institute (2006), pp. 587-622 [in Korean]

Preprints

1. J.I. Perotti, H.-H. Jo, P. Holme, and J. Saramaki, Temporal network sparsity and the slowing down of spreading [arXiv:1411.5553]

2. H.-H. Jo and E. Moon, Coevolution of a network and perception [arXiv:1409.1436]

Translation

1. H. Kim, S.-W. Son, J. Yun, H.-H. Jo, E. Lee, S.H. Lee, and M.J. Lee, 네트워크 2/e, 에이콘출판사 (2022)

   • Original book: M.E.J. Newman, Networks: 2nd Edition, Oxford University Press (2018)

Articles for the General Public

1. Bursty human dynamics for the time series that does not end until the end, Crossroads by Asia Pacific Center for Theoretical Physics, September 2021 [in Korean]

2. Statistical Physics of Complex Dynamics Group at APCTP, AAPPS Bulletin, August 2017

3. Can my physics change the world? Crossroads by Asia Pacific Center for Theoretical Physics, December 2016 [in Korean]

4. Why am I always surrounded by the superior people to me? Crossroads by Asia Pacific Center for Theoretical Physics, August 2015 [in Korean]

5. An exotic journey in social physics, article series in The Hankyoreh - ScienceOn, 2010-2012 [in Korean]

   • Explaining bursts in communication patterns by risk-aversion model, 30 January 2012

   • Triangular Chain Interaction: Emergence of bursts by strong ties, 18 August 2011

   • Bystander effect and helping network model for witnesses, 28 April 2011

   • How to explain the bursts in the mobile phone and e-mail communication patterns? 30 March 2011

   • Finding the origin of power-law distributions in social and natural phenomena, 24 February 2011

   • Building a chain reaction model of retweet spreading, 20 January 2011

   • Chain reaction of small changes leading to the global change at criticality, 30 December 2010

   • Can physics explain and predict social phenomena? 9 December 2010

6. "The Sand Grain Game" by sandpile models, KIAS Newsletter No. 42, pp. 24-27 (2010) [in Korean]