8 papers
Quantifying concurrency in event-based temporal network and hypergraph data
Jiyoung Kang, Hang-Hyun Jo, Naoki Masuda
Many social, biological, and technological systems are recorded as sequences of time-stamped interactions. In such systems, concurrency, i.e., the tendency for an individual to par…
Modeling non-Poissonian temporal hypergraphs by Markovian node dynamics
Hang-Hyun Jo, Naoki Masuda
Temporal hypergraphs capture time-resolved group interactions among nodes. Empirical data support that time-stamped group interactions show bursty event sequences and non-trivial t…
Analysis framework for higher-order temporal correlations with applications to human heartbeats
Tibebe Birhanu, Hang-Hyun Jo
We propose a time series analysis framework focused on higher-order temporal correlations in the event sequence beyond the interevent time distribution by employing the burst-tree…
Maximum likelihood estimation of burst-merging kernels for bursty time series
Tibebe Birhanu, Hang-Hyun Jo
Various time series in natural and social processes have been found to be bursty. Events in the time series rapidly occur within short time periods, forming bursts, which are alter…
Analysis of the autocorrelation function for time series with higher-order temporal correlations: An exponential case
Min-ho Yu, Hang-Hyun Jo
Temporal correlations in the time series observed in various systems have been characterized by the autocorrelation function. Such correlations can be explained by heavy-tailed int…
Burst-tree structure and higher-order temporal correlations
Tibebe Birhanu, Hang-Hyun Jo
Understanding characteristics of temporal correlations in time series is crucial for developing accurate models in natural and social sciences. The burst-tree decomposition method…