{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:00:47Z","timestamp":1780912847941,"version":"3.54.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004763","name":"Natural Science Foundation of Inner Mongolia Autonomous Region","doi-asserted-by":"crossref","award":["2022LHMS01005"],"award-info":[{"award-number":["2022LHMS01005"]}],"id":[{"id":"10.13039\/501100004763","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"DOI":"10.1007\/s11227-026-08448-y","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T09:04:11Z","timestamp":1780909451000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A modified event synchronization method based on event clustering"],"prefix":"10.1007","volume":"82","author":[{"given":"Jia-Qi","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Na","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Rui","family":"Zang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,8]]},"reference":[{"issue":"4","key":"8448_CR1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.66.041904","volume":"66","author":"RQ Quiroga","year":"2002","unstructured":"Quiroga RQ, Kreuz T, Grassberger P (2002) Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. Phys Rev E 66(4):041904. https:\/\/doi.org\/10.1103\/PhysRevE.66.041904","journal-title":"Phys Rev E"},{"issue":"4","key":"8448_CR2","doi-asserted-by":"publisher","first-page":"599","DOI":"10.5194\/npg-24-599-2017","volume":"24","author":"A Agarwal","year":"2017","unstructured":"Agarwal A, Marwan N, Rathinasamy M, Bruno M, Kurths J (2017) Multi-scale event synchronization analysis for enravelling climate progress: a wavelet-based approach. Nonlinear Process Geophys 24(4):599\u2013611. https:\/\/doi.org\/10.5194\/npg-24-599-2017","journal-title":"Nonlinear Process Geophys"},{"issue":"1","key":"8448_CR3","doi-asserted-by":"publisher","DOI":"10.1063\/1.5114214","volume":"2116","author":"C Bertini","year":"2019","unstructured":"Bertini C, Mineo C, Moccia B (2019) Setting a methodology to detect main directions of synchronous heavy daily rainfall event for Lazio region using complex networks. AIP Conf Proc 2116(1):210003. https:\/\/doi.org\/10.1063\/1.5114214","journal-title":"AIP Conf Proc"},{"issue":"5","key":"8448_CR4","doi-asserted-by":"publisher","first-page":"371","DOI":"10.5194\/npg-17-371-2010","volume":"17","author":"N Malik","year":"2010","unstructured":"Malik N, Marwan N, Kurths J (2010) Spatial structures and directionalities in Monsoonal precipitation over South Asia. Nonlinear Process Geophys 17(5):371\u2013381. https:\/\/doi.org\/10.5194\/npg-17-371-2010","journal-title":"Nonlinear Process Geophys"},{"issue":"4","key":"8448_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2025.110378","volume":"416","author":"A Mariani","year":"2025","unstructured":"Mariani A, Senocrate F, Mikiel-Hunter J, McAlpine D, Beiderbeck B, Pecka M, Lin K, Kreuz T (2025) Latency correction in sparse neuronal spike trains with overlapping global events. J Neurosci Methods 416(4):110378. https:\/\/doi.org\/10.1016\/j.jneumeth.2025.110378","journal-title":"J Neurosci Methods"},{"issue":"1","key":"8448_CR6","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-025-60104-w","volume":"16","author":"MZ Wang","year":"2025","unstructured":"Wang MZ, Huang Y, Franzke CLE, Yuan NM, Fu Z, Boers N (2025) Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity. Nat Commun 16(1):4742. https:\/\/doi.org\/10.1038\/s41467-025-60104-w","journal-title":"Nat Commun"},{"issue":"5","key":"8448_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2024.131217","volume":"635","author":"XD Li","year":"2024","unstructured":"Li XD, Zhao TTG, Zhang JK, Zhang BY, Li Y (2024) A complex network perspective on spatiotemporal propagations of extreme precipitation events in China. J Hydrol 635(5):131217. https:\/\/doi.org\/10.1016\/j.jhydrol.2024.131217","journal-title":"J Hydrol"},{"issue":"10","key":"8448_CR8","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1038\/s41558-025-02427-6","volume":"15","author":"YX Yang","year":"2025","unstructured":"Yang YX, Yang L, Villarini G, Zhao F, Huang DQ, Vecchi GA, Wang Q, Sun YD, Tian FQ (2025) Synchronization of global peak river discharge since the 1980s. Nat Clim Chang 15(10):1084\u20131090. https:\/\/doi.org\/10.1038\/s41558-025-02427-6","journal-title":"Nat Clim Chang"},{"key":"8448_CR9","doi-asserted-by":"publisher","unstructured":"Stolbova1 V, Martin P, Bookhagen B, Marwan N, Kurths J (2014) Topology and seasonal evolution of the network of extreme precipitation over the Indian subcontinent and Sri Lanka. Nonlinear Process Geophys, 21(4): 901\u2013917. https:\/\/doi.org\/10.5194\/npg-21-901-2014","DOI":"10.5194\/npg-21-901-2014"},{"issue":"6","key":"8448_CR10","doi-asserted-by":"publisher","first-page":"3274","DOI":"10.1002\/joc.7861","volume":"42","author":"VB Jha","year":"2021","unstructured":"Jha VB, Gujrati A, Singh RP (2021) Complex network theoretic assessment of precipitation-driven meteorological drought in India: past and future. Int J Climatol 42(6):3274\u20133289. https:\/\/doi.org\/10.1002\/joc.7861","journal-title":"Int J Climatol"},{"issue":"15","key":"8448_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1029\/2020GL088185","volume":"47","author":"S Mondal","year":"2020","unstructured":"Mondal S, Mishra AK, Leung LR (2020) Spatiotemporal characteristics and propagation of summer extreme precipitation events over United States: a complex network analysis. Geophys Res Lett 47(15):1\u201311. https:\/\/doi.org\/10.1029\/2020GL088185","journal-title":"Geophys Res Lett"},{"issue":"11","key":"8448_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1029\/2021GL093582","volume":"48","author":"ZJ Geng","year":"2021","unstructured":"Geng ZJ, Zhang YW, Lu B, Fan JF, Zhao ZM, Chen XS (2021) Network synchronization analysis reveals the weakening tropical circulations. Geophys Res Lett 48(11):1\u201311. https:\/\/doi.org\/10.1029\/2021GL093582","journal-title":"Geophys Res Lett"},{"issue":"1","key":"8448_CR13","doi-asserted-by":"publisher","DOI":"10.1063\/5.0240799","volume":"35","author":"LL Garc\u00eda","year":"2025","unstructured":"Garc\u00eda LL, Tirabassi G, Masoller C, Balenzuela P (2025) Point process analysis of geographical diffusion of news in Argentina. Chaos 35(1):013135. https:\/\/doi.org\/10.1063\/5.0240799","journal-title":"Chaos"},{"issue":"1","key":"8448_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.pepi.2020.106524","volume":"306","author":"A Celikoglu","year":"2020","unstructured":"Celikoglu A (2020) Earthquake spatial dynamics analysis using event synchronization method. Phys Earth Planet Inter 306(1):106524. https:\/\/doi.org\/10.1016\/j.pepi.2020.106524","journal-title":"Phys Earth Planet Inter"},{"issue":"8","key":"8448_CR15","doi-asserted-by":"publisher","DOI":"10.3390\/e25081209","volume":"25","author":"K Kim","year":"2023","unstructured":"Kim K, Lee H, Lee M, Bae YH, Kim HS, Kim SJ (2023) Analysis of weather factors on aircraft cancellation using a multilayer complex network. Entropy 25(8):1209. https:\/\/doi.org\/10.3390\/e25081209","journal-title":"Entropy"},{"issue":"9","key":"8448_CR16","doi-asserted-by":"publisher","DOI":"10.1063\/5.0083137","volume":"32","author":"LN Wang","year":"2022","unstructured":"Wang LN, Tan GM, Zang CR (2022) Identifying the spatiotemporal organization of high-traffic events in a mobile communication system using event synchronization and complex networks. Chaos 32(9):093122. https:\/\/doi.org\/10.1063\/5.0083137","journal-title":"Chaos"},{"issue":"16","key":"8448_CR17","doi-asserted-by":"publisher","first-page":"2410","DOI":"10.1049\/iet-com.2017.0330","volume":"11","author":"ZF Zhao","year":"2017","unstructured":"Zhao ZF, Li M, Li RP, Zhou YF (2017) Temporal-spatial distribution nature of traffic and base stations in cellular networks. IET Commun 11(16):2410\u20132416. https:\/\/doi.org\/10.1049\/iet-com.2017.0330","journal-title":"IET Commun"},{"issue":"1","key":"8448_CR18","doi-asserted-by":"publisher","first-page":"97","DOI":"10.32604\/cmc.2018.03511","volume":"57","author":"LG Liu","year":"2018","unstructured":"Liu LG, Li W, Jia HL (2018) Method of time series similarity measurement based on dynamic time warping. Comput Mater Contin 57(1):97\u2013106. https:\/\/doi.org\/10.32604\/cmc.2018.03511","journal-title":"Comput Mater Contin"},{"issue":"15","key":"8448_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117163","volume":"201","author":"WW Jiang","year":"2022","unstructured":"Jiang WW (2022) Cellular traffic prediction with machine learning: a survey. Expert Syst Appl 201(15):117163. https:\/\/doi.org\/10.1016\/j.eswa.2022.117163","journal-title":"Expert Syst Appl"},{"issue":"1","key":"8448_CR20","doi-asserted-by":"publisher","DOI":"10.7498\/aps.68.20190794","volume":"2","author":"LN Wang","year":"2020","unstructured":"Wang LN, Zang CR, Cheng YY (2020) The short-term prediction of the mobile communication traffic based on the product seasonal model. SN Appl Sci 2(1):399. https:\/\/doi.org\/10.7498\/aps.68.20190794","journal-title":"SN Appl Sci"},{"issue":"23","key":"8448_CR21","doi-asserted-by":"publisher","DOI":"10.7498\/aps.68.20190794","volume":"68","author":"LN Wang","year":"2019","unstructured":"Wang LN, Cheng YY, Zang CR (2019) A symbolized time series network based on seasonal-trend-loess method. Acta Phys Sin 68(23):238901. https:\/\/doi.org\/10.7498\/aps.68.20190794","journal-title":"Acta Phys Sin"},{"issue":"5","key":"8448_CR22","doi-asserted-by":"publisher","first-page":"5584","DOI":"10.1007\/s10489-021-02591-0","volume":"52","author":"LN Wang","year":"2021","unstructured":"Wang LN, Tan GM, Zang CR (2021) A network method to identify the dynamic changes of the data flow with spatio-temporal feature. Appl Intell 52(5):5584\u20135593. https:\/\/doi.org\/10.1007\/s10489-021-02591-0","journal-title":"Appl Intell"},{"issue":"6","key":"8448_CR23","doi-asserted-by":"publisher","DOI":"10.1063\/5.0142001","volume":"33","author":"LN Wang","year":"2023","unstructured":"Wang LN, Li M, Zang CR (2023) Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics. Chaos 33(6):063155. https:\/\/doi.org\/10.1063\/5.0142001","journal-title":"Chaos"},{"issue":"8","key":"8448_CR24","doi-asserted-by":"publisher","DOI":"10.1063\/1.5110881","volume":"29","author":"F Hassanibesheli","year":"2019","unstructured":"Hassanibesheli F, Donner RV (2019) Network inference from the timing of events in coupled dynamical systems. Chaos 29(8):083125. https:\/\/doi.org\/10.1063\/1.5110881","journal-title":"Chaos"},{"issue":"5","key":"8448_CR25","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.101.052213","volume":"101","author":"A Odenweller","year":"2020","unstructured":"Odenweller A, Donner RV (2020) Disentangling synchrony from serial dependency in paired-event time series. Phys Rev E 101(5):052213. https:\/\/doi.org\/10.1103\/PhysRevE.101.052213","journal-title":"Phys Rev E"},{"issue":"14-15","key":"8448_CR26","doi-asserted-by":"publisher","first-page":"3045","DOI":"10.1140\/epjs\/s11734-021-00166-1","volume":"230","author":"F Wolf","year":"2021","unstructured":"Wolf F, Donner RV (2021) Spatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation. Eur Phys J Spec Top 230(14\u201315):3045\u20133063. https:\/\/doi.org\/10.1140\/epjs\/s11734-021-00166-1","journal-title":"Eur Phys J Spec Top"},{"issue":"14","key":"8448_CR27","doi-asserted-by":"publisher","first-page":"2645","DOI":"10.5194\/hess-27-2645-2023","volume":"27","author":"SM Vallejo-Bernal","year":"2023","unstructured":"Vallejo-Bernal SM, Wolf F, Boers N, Traxl D, Marwan N, Kurths J (2023) The role of atmospheric rivers in the distribution of heavy precipitation events over North America. Hydrol Earth Syst Sci 27(14):2645\u20132660. https:\/\/doi.org\/10.5194\/hess-27-2645-2023","journal-title":"Hydrol Earth Syst Sci"},{"issue":"9","key":"8448_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2025.116563","volume":"198","author":"LN Wang","year":"2025","unstructured":"Wang LN, Huang YW, Zang CR, Cao JQ, Meng Y (2025) Optimized event synchronization method: identifying synchronous spatiotemporal patterns of extreme events. Chaos Solitons Fractals 198(9):116563. https:\/\/doi.org\/10.1016\/j.chaos.2025.116563","journal-title":"Chaos Solitons Fractals"},{"issue":"51","key":"8448_CR29","doi-asserted-by":"publisher","first-page":"20422","DOI":"10.1073\/pnas.1117052108","volume":"108","author":"JF Donges","year":"2011","unstructured":"Donges JF, Donner RV, Trauth MH, Marwan N, Schellnhuber HJ, Kurths J (2011) Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution. Proc Natl Acad Sci 108(51):20422\u201320427. https:\/\/doi.org\/10.1073\/pnas.1117052108","journal-title":"Proc Natl Acad Sci"},{"issue":"1","key":"8448_CR30","doi-asserted-by":"publisher","DOI":"10.1063\/5.0072520","volume":"32","author":"A Agarwal","year":"2022","unstructured":"Agarwal A, Guntu RK, Banerjee A, Gadhawe MA, Marwan N (2022) A complex network approach to study the extreme precipitation in a river basin. Chaos 32(1):013113. https:\/\/doi.org\/10.1063\/5.0072520","journal-title":"Chaos"},{"issue":"11","key":"8448_CR31","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1073\/pnas.0400087101","volume":"101","author":"A Barreat","year":"2004","unstructured":"Barreat A, Barth\u00e9lemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci 101(11):3747\u20133752. https:\/\/doi.org\/10.1073\/pnas.0400087101","journal-title":"Proc Natl Acad Sci"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-026-08448-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-026-08448-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-026-08448-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T09:04:12Z","timestamp":1780909452000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-026-08448-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,8]]},"references-count":31,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,6]]}},"alternative-id":["8448"],"URL":"https:\/\/doi.org\/10.1007\/s11227-026-08448-y","relation":{},"ISSN":["1573-0484"],"issn-type":[{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,8]]},"assertion":[{"value":"23 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 June 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This paper was done by the authors, and no human participants other than the authors were involved in it, and informed consent was obtained from all authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"483"}}