Hang-Hyun Jo
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
ext-hang-hyun.jo@aalto.fi
Puhelinnumero
+358505947500
Julkaisut
Hierarchical organization of bursty trains in event sequences
Takayuki Hiraoka, Hang Hyun Jo
2025
Chaos
Homophilic organization of egocentric communities in ICT services
Chandreyee Roy, Hang Hyun Jo, János Kertész, Kimmo Kaski, János Török
2025
PloS One
Individual-driven versus interaction-driven burstiness in human dynamics
Jeehye Choi, Takayuki Hiraoka, Hang Hyun Jo
2021
Physical Review E
Internal migration and mobile communication patterns among pairs with strong ties
Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang Hyun Jo, Kimmo Kaski
2021
EPJ Data Science
Modeling the Complex Network of Social Interactions
Janos Kertesz, Janos Török, Yohsuke Murase, Hang-Hyun Jo, Kimmo Kaski
2021
Pathways Between Social Science and Computational Social Science
Different patterns of social closeness observed in mobile phone communication
Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, Kimmo Kaski
2020
Journal of Computational Social Science
Link-centric analysis of variation by demographics in mobile phone communication patterns
Mikaela Irene D. Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang Hyun Jo, Kimmo Kaski
2020
PloS One
Modeling temporal networks with bursty activity patterns of nodes and links
Takayuki Hiraoka, Naoki Masuda, Aming Li, Hang-Hyun Jo
2020
Physical Review Research
Burst-tree decomposition of time series reveals the structure of temporal correlations
Hang Hyun Jo, Takayuki Hiraoka, Mikko Kivelä
2020
Scientific Reports
Gravity model explained by the radiation model on a population landscape
Inho Hong, Woo Sung Jung, Hang Hyun Jo
2019
PloS One