424 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pohang University of Science and TechnologyKR14 papers
- The Catholic University of Korea Bucheon St. Mary's HospitalKR12 papers
- University of CologneDE12 papers
- Rice UniversityUS10 papers
- Seoul National UniversityKR8 papers
- Aalto UniversityFI7 papers
- Lawrence Berkeley National LaboratoryUS6 papers
- Asia Pacific Center for Theoretical PhysicsKR5 papers
- University of California, Los AngelesUS5 papers
- University of SeoulKR5 papers
- Advanced Light Source4 papers
- Ames National LaboratoryUS4 papers
13 papers · 1 filter
Hierarchical organization of bursty trains in event sequences
Takayuki Hiraoka, Hang-Hyun Jo
Temporal sequences of discrete events that describe natural and social processes are often driven by non-Poisson dynamics. In addition to a heavy-tailed interevent time distributio…
Exact solutions of the simplified March model for organizational learning
Hang-Hyun Jo
James G. March's celebrated agent-based simulation model for organizational learning [March, Organization Science \textbf{2}, 71 (1991)] has been extensively studied for the last d…
Statistical properties of COVID-19 transmission intervals in Republic of Korea
Yeonji Seo, Okyu Kwon, Hang-Hyun Jo
A transmission interval for an infectious disease is important to understand epidemic processes in complex networks. The transmission interval is defined as a time interval between…
Multiple gravity laws for human mobility within cities
Oh-Hyun Kwon, Inho Hong, Woo-Sung Jung +1
The gravity model of human mobility has successfully described the deterrence of travels with distance in urban mobility patterns. While a broad spectrum of deterrence was found ac…
Copula-based analysis of the autocorrelation function for simple temporal networks
Hang-Hyun Jo
To characterize temporal correlations in temporal networks, we define an autocorrelation function (ACF) for temporal networks in terms of the similarity between two snapshot networ…
Copula-based analysis of the generalized friendship paradox in clustered networks
Hang-Hyun Jo, Eun Lee, Young-Ho Eom
A heterogeneous structure of social networks induces various intriguing phenomena. One of them is the friendship paradox, which states that on average your friends have more friend…
Deep learning based parameter search for an agent based social network model
Yohsuke Murase, Hang-Hyun Jo, János Török +2
Interactions between humans give rise to complex social networks that are characterized by heterogeneous degree distribution, weight-topology relation, overlapping community struct…
Analytical approach to the generalized friendship paradox in networks with correlated attributes
Hang-Hyun Jo, Eun Lee, Young-Ho Eom
One of the interesting phenomena due to the topological heterogeneities in complex networks is the friendship paradox, stating that your friends have on average more friends than y…
Numerical study on the deadline-concerning priority queuing model
Hang-Hyun Jo
The Barabási's priority queuing model [A.-L. Barabási, Nature \textbf{435}, 207 (2005)] and its variants have been extensively studied to understand heavy-tailed distributions of t…
Finite-size effects on the convergence time in continuous-opinion dynamics
Hang-Hyun Jo, Naoki Masuda
We study finite-size effects on the convergence time in a continuous-opinion dynamics model. In the model, each individual's opinion is represented by a real number on a finite int…
Individual-driven versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history
Jeehye Choi, Takayuki Hiraoka, Hang-Hyun Jo
The origin of non-Poissonian or bursty temporal patterns observed in various datasets for human social dynamics has been extensively studied, yet its understanding still remains in…
Impact of environmental changes on the dynamics of temporal networks
Hyewon Kim, Hang-Hyun Jo, Hawoong Jeong
Dynamics of complex social systems has often been described in the framework of temporal networks, where links are considered to exist only at the moment of interaction between nod…
Modeling temporal networks with bursty activity patterns of nodes and links
Takayuki Hiraoka, Naoki Masuda, Aming Li +1
The concept of temporal networks provides a framework to understand how the interaction between system components changes over time. In empirical communication data, we often detec…