IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v198y2025ics0960077925005764.html

Optimized event synchronization method: Identifying synchronous spatiotemporal patterns of extreme events

Author

Listed:
  • Wang, Li-Na
  • Huang, Yu-Wen
  • Zang, Chen-Rui
  • Cao, Jia-Qi
  • Meng, Yao

Abstract

Extreme events and their evolution and development have become important topics in various fields such as meteorological science, social science, and neuroscience. Statistical modeling methods are commonly used to study the interdependence between these extreme events. In this paper, we propose an optimized event synchronization (OES) method. By proposing minimum delay, this method optimizes the identification criteria of event synchronization. In cases where events are temporally clustered, the OES method enhances the recognition ability of event synchronization features. The OES method is not affected by event aggregation and performs more stably under different parameters. Based on the synchronous relationship and synchronous extent of high-traffic events in a communication system, a functional communication network is constructed. By analyzing the topological characteristics of this functional communication network, we aim to study the synchronous spatiotemporal patterns of high-traffic events, including the synchronous area, the extent of synchronization impact and the spatial continuity.

Suggested Citation

  • Wang, Li-Na & Huang, Yu-Wen & Zang, Chen-Rui & Cao, Jia-Qi & Meng, Yao, 2025. "Optimized event synchronization method: Identifying synchronous spatiotemporal patterns of extreme events," Chaos, Solitons & Fractals, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:chsofr:v:198:y:2025:i:c:s0960077925005764
    DOI: 10.1016/j.chaos.2025.116563
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925005764
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2025.116563?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. N. Boers & B. Bookhagen & H. M. J. Barbosa & N. Marwan & J. Kurths & J. A. Marengo, 2014. "Prediction of extreme floods in the eastern Central Andes based on a complex networks approach," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
    2. Lopes, António M. & Machado, J.A. Tenreiro, 2022. "Multidimensional scaling and visualization of patterns in global large-scale accidents," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    3. Niklas Boers & Bedartha Goswami & Aljoscha Rheinwalt & Bodo Bookhagen & Brian Hoskins & Jürgen Kurths, 2019. "Complex networks reveal global pattern of extreme-rainfall teleconnections," Nature, Nature, vol. 566(7744), pages 373-377, February.
    4. Somnath Mondal & Ashok K. Mishra & Ruby Leung & Benjamin Cook, 2023. "Global droughts connected by linkages between drought hubs," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fenying Cai & Caihong Liu & Dieter Gerten & Song Yang & Tuantuan Zhang & Kaiwen Li & Jürgen Kurths, 2024. "Sketching the spatial disparities in heatwave trends by changing atmospheric teleconnections in the Northern Hemisphere," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Panjie Qiao & Xiaojuan Wang & Wenqi Liu & Shuai Li & Yongwen Zhang & Guolin Feng & Jingfang Fan, 2025. "Synchronization patterns of extreme rainfall events in Southwest China," Climatic Change, Springer, vol. 178(3), pages 1-18, March.
    3. Felix M. Strnad & Jakob Schlör & Ruth Geen & Niklas Boers & Bedartha Goswami, 2023. "Propagation pathways of Indo-Pacific rainfall extremes are modulated by Pacific sea surface temperatures," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. Konstantinos Spiliotis & Konstantinos Voudouris & Harris Vangelis & Mike Spiliotis, 2025. "Analysis of Annual Drought Episodes Using Complex Networks," Sustainability, MDPI, vol. 17(4), pages 1-17, February.
    5. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    6. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Nico Wunderling & Frederik Wolf & Obbe A. Tuinenburg & Arie Staal, 2022. "Network motifs shape distinct functioning of Earth’s moisture recycling hubs," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    8. Hu, Yuntong & Xiao, Fuyuan, 2022. "A novel method for forecasting time series based on directed visibility graph and improved random walk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    9. Pei, Wei & Su, Yi & Fu, Qiang & Ren, Yongtai & Li, Tianxiao, 2025. "Study on the driving factors of spring agricultural drought in Northeast China from the perspective of atmosphere and snow cover," Agricultural Water Management, Elsevier, vol. 317(C).
    10. Lin, Fanqi & Zhou, Yanlai & Ning, Zhihao & Liu, Pan & Chang, Fi-John & Xu, Chong-Yu, 2025. "Unlocking hydropower synergies: Multi-objective optimization drawdown operation of cascade reservoirs," Renewable Energy, Elsevier, vol. 247(C).
    11. Shixue Li & Tomonori Sato & Tetsu Nakamura & Wenkai Guo, 2023. "East Asian summer rainfall stimulated by subseasonal Indian monsoonal heating," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    12. Zexi Shen & Qiang Zhang & Vijay P. Singh & Yadu Pokhrel & Jianping Li & Chong-Yu Xu & Wenhuan Wu, 2022. "Drying in the low-latitude Atlantic Ocean contributed to terrestrial water storage depletion across Eurasia," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    13. Boaretto, Bruno R.R. & Macau, Elbert E.N. & Masoller, Cristina, 2025. "Noise-induced extreme events in Hodgkin–Huxley neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    14. Yunyu Tian & Yiting Xu & Yilin Liang & Ziqin Zhou & Katie M. Susong & Yuyang Chen & Kishen Joshi & Amy M. Campbell & Ahyoung Lim & Qiushi Lin & Zixuan Ma & Yuanlong Wei & Yun Yang & Cheng Sun & Juan F, 2025. "Rising dengue risk with increasing El Niño–Southern Oscillation amplitude and teleconnections," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    15. Yifei Yang & Sichen Tao & Haichuan Yang & Zijing Yuan & Zheng Tang, 2023. "Dynamic Complex Network, Exploring Differential Evolution Algorithms from Another Perspective," Mathematics, MDPI, vol. 11(13), pages 1-16, July.
    16. Alok Bhardwaj & Robert J. Wasson & Winston T. L. Chow & Alan D. Ziegler, 2021. "High-intensity monsoon rainfall variability and its attributes: a case study for Upper Ganges Catchment in the Indian Himalaya during 1901–2013," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2907-2936, February.
    17. Xu, Guiqiong & Meng, Lei, 2023. "A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    18. Wang, Yanjun & Li, Max Z. & Gopalakrishnan, Karthik & Liu, Tongdan, 2022. "Timescales of delay propagation in airport networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    19. Somayeh Abedian & Mohammadali Alijanian & Hamed Yazdian, 2025. "Spatiotemporal drought propagation over the Eastern Middle East using the complex network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(14), pages 16999-17024, August.
    20. Amanda de O. Regueira & Henderson Silva Wanderley, 2022. "Changes in rainfall rates and increased number of extreme rainfall events in Rio de Janeiro city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3833-3847, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:198:y:2025:i:c:s0960077925005764. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.