Hang-Hyun Jo
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socph.bsky.social
Hang-Hyun Jo
@socph.bsky.social
Associate Professor at The Catholic University of Korea; statistical physics and complex systems; co-author of "Bursty Human Dynamics" (Springer, 2018); http://h2jo.xyz; he/him
I just copied the poster of the workshop, which looks interesting.
August 30, 2025 at 6:24 AM
Attending the summer school on nonlinear dynamics and chaos at KIAS
August 12, 2025 at 1:46 AM
www.complexity.kr?p=1322 I'm pleased to join the 2025 KACS-KENTECH Summer School on Complex Systems as a lecturer with other 7 lecturers. This year we study the Korean translation of the famous book "Nonlinear Dynamics and Chaos" by Steven Strogatz. All lectures are given in Korean too.
June 10, 2025 at 1:07 AM
Complex social system
December 15, 2024 at 6:09 AM
I took this video last summer at Aalto University, Finland.
November 29, 2024 at 8:31 AM
If you see this, please repost with a favourite photo of the sky that you’ve taken recently
November 16, 2024 at 11:16 AM
Patterns of the civilization
November 10, 2024 at 10:57 AM
No photos about the workshop but a few about Okinawa.
November 10, 2024 at 6:58 AM
I just made a slide showing the flowchart for the derivation of the autocorrelation function from the inter-event time and burst size distributions.
October 28, 2024 at 1:45 PM
Four years ago I proposed the burst-tree decomposition method with Takayuki and Mikko (www.nature.com/articles/s41...). It was shown that the event sequence (lower part of the figure) can be mapped to the binary tree structure (upper), each node is a bursty train detected at the timescale Δt.
October 28, 2024 at 2:58 AM
Community detected
August 17, 2024 at 2:10 AM
August 9, 2024 at 4:09 PM
Attending now the symposium on nonlinear and complex systems
June 28, 2024 at 4:23 AM
Today’s bluesky with clouds
May 28, 2024 at 5:05 AM
Thus, in their model β is infinite. Our solution is for any β, finally completing the picture in the figure.
April 29, 2024 at 1:33 AM
For this, we devised a simple model generating time series with any functional forms of IET and burst-size distributions (see Figure). Then we derived the ACF for this model. Finally, assuming that IET and burst-size distributions are power laws, we obtained the ACF, hence the decay exponent.
April 29, 2024 at 1:25 AM
It's because the autocorrelation function (ACF) measures "all" temporal correlations in time series, while inter-event times (IETs) and burst sizes reveal only some "part" of those correlations. Now we have the answer.
April 29, 2024 at 1:22 AM
Figure from link.springer.com/chapter/10.1...
Let's begin with the following figure, where the decay exponent γ of the autocorrelation function A must be a function of the power-law exponent α of inter-event time distribution P and the power-law exponent β of burst-size distribution, i.e., γ(α, β).
April 29, 2024 at 1:19 AM
Finally published online, see link.springer.com/article/10.1... However, I have to complain about the proofreading process; I've never seen two-column captions for single column figures. We already asked to correct these but the paper was published without fixing this issue.
November 14, 2023 at 11:49 AM
Now attending the Korean Physical Society Fall Meeting, StatPhys session.
October 27, 2023 at 1:39 AM
Finland, 2015
September 29, 2023 at 12:04 PM
Blue sky with white clouds
August 25, 2023 at 12:19 AM
The attached figure essentially summarizes my academic network for the last ~20 years. Thank you for all. Source: Pure by Elsevier
July 31, 2023 at 2:45 PM
View from my office
July 25, 2023 at 6:48 AM
The upper figures are from Bokanyi's paper (2023) and the lower part is from my presentation in 2016, presenting my PRE paper with my colleagues (https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.052319). Our conjecture is now proven!
July 18, 2023 at 8:09 AM