A complex network approach to characterize clustering of events in irregular time series
- DOI
- 10.1063/5.0335154
- Published
- 2026-08-01
- Container
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Publisher
- AIP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1063/5.0335154,
title = {A complex network approach to characterize clustering of events in irregular time series},
author = {Sanket Sukdeo Ambedkar and K. Shri Vignesh and Sachin S. Gunthe and T. Narayan Rao and Amit Kumar Patra and R. I. Sujith},
year = {2026},
journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
doi = {10.1063/5.0335154},
url = {https://doi.org/10.1063/5.0335154}
}RIS
TY - JOUR TI - A complex network approach to characterize clustering of events in irregular time series AU - Sanket Sukdeo Ambedkar AU - K. Shri Vignesh AU - Sachin S. Gunthe AU - T. Narayan Rao AU - Amit Kumar Patra AU - R. I. Sujith PY - 2026 JO - Chaos: An Interdisciplinary Journal of Nonlinear Science DO - 10.1063/5.0335154 UR - https://doi.org/10.1063/5.0335154 ER -
APA
Ambedkar, S. S., Vignesh, K. S., Gunthe, S. S., Rao, T. N., Patra, A. K., & Sujith, R. I. (2026). A complex network approach to characterize clustering of events in irregular time series. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0335154
Source records
- crossref · retrieved 2026-09-25T10:34:21.811Z