{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:03:04Z","timestamp":1784678584375,"version":"3.55.0"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004829","name":"Sichuan Province Department of Science and Technology","doi-asserted-by":"publisher","award":["2020YJ0125"],"award-info":[{"award-number":["2020YJ0125"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12231012"],"award-info":[{"award-number":["12231012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802321"],"award-info":[{"award-number":["61802321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42461144209"],"award-info":[{"award-number":["42461144209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["22DZ2229004"],"award-info":[{"award-number":["22DZ2229004"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Communications in Nonlinear Science and Numerical Simulation"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.cnsns.2026.110432","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:26:00Z","timestamp":1781886360000},"page":"110432","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P3","title":["Revealing the failure-recovery propagation dynamics in adaptive networks"],"prefix":"10.1016","volume":"162","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1895-6890","authenticated-orcid":false,"given":"Ying","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhicheng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5532-3312","authenticated-orcid":false,"given":"Yushu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pak Ming","family":"Hui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cnsns.2026.110432_bib0001","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1038\/35019019","article-title":"Error and attack tolerance of complex networks","volume":"406","author":"Albert","year":"2000","journal-title":"Nature"},{"key":"10.1016\/j.cnsns.2026.110432_bib0002","doi-asserted-by":"crossref","DOI":"10.1038\/nature08932","article-title":"Catastrophic cascade of failures in interdependent networks","volume":"464","author":"Buldyrev","year":"2010","journal-title":"Nature"},{"key":"10.1016\/j.cnsns.2026.110432_bib0003","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.109.248701","article-title":"Avalanche collapse of interdependent networks","volume":"109","author":"Baxter","year":"2012","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0004","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1073\/pnas.1621369114","article-title":"Eradicating catastrophic collapse in interdependent networks via reinforced nodes","volume":"114","author":"Yuan","year":"2017","journal-title":"Proc Nat Acad Sci USA"},{"key":"10.1016\/j.cnsns.2026.110432_bib0005","doi-asserted-by":"crossref","DOI":"10.1126\/science.aan3184","article-title":"Small vulnerable sets determine large network cascades in power grids","volume":"358","author":"Yang","year":"2017","journal-title":"Science"},{"key":"10.1016\/j.cnsns.2026.110432_bib0006","article-title":"Dynamically induced cascading failures in power grids","volume":"9","author":"Sch\u00e4fer","year":"2018","journal-title":"Nat Comm"},{"key":"10.1016\/j.cnsns.2026.110432_bib0007","doi-asserted-by":"crossref","DOI":"10.1088\/1367-2630\/12\/11\/113043","article-title":"Worldwide spreading of economic crisis","volume":"12","author":"Garas","year":"2010","journal-title":"New J Phys"},{"key":"10.1016\/j.cnsns.2026.110432_bib0008","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1073\/pnas.1008404108","article-title":"Critical effect of dependency groups on the function of networks","volume":"108","author":"Parshani","year":"2011","journal-title":"Proc Nat Acad Sci USA"},{"key":"10.1016\/j.cnsns.2026.110432_bib0009","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1073\/pnas.1419185112","article-title":"Percolation transition in dynamical traffic network with evolving critical bottlenecks","volume":"112","author":"Li","year":"2014","journal-title":"Proc Nat Acad Sci USA"},{"key":"10.1016\/j.cnsns.2026.110432_bib0010","doi-asserted-by":"crossref","first-page":"3838","DOI":"10.1073\/pnas.1009440108","article-title":"Mitigation of malicious attacks on networks","volume":"108","author":"Schneider","year":"2011","journal-title":"Proc Nat Acad Sci USA"},{"key":"10.1016\/j.cnsns.2026.110432_bib0011","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2022.04.002","article-title":"Network resilience","volume":"971","author":"Liu","year":"2022","journal-title":"Phys Rep"},{"key":"10.1016\/j.cnsns.2026.110432_bib0012","doi-asserted-by":"crossref","first-page":"4626","DOI":"10.1103\/PhysRevLett.85.4626","article-title":"Resilience of the internet to random breakdowns","volume":"85","author":"Cohen","year":"2000","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0013","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.107.195701","article-title":"Robustness of a network of networks","volume":"107","author":"Gao","year":"2011","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0014","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1038\/s42254-023-00676-y","article-title":"Robustness and resilience of complex networks","volume":"6","author":"Artime","year":"2024","journal-title":"Nat Rev Phys"},{"key":"10.1016\/j.cnsns.2026.110432_bib0015","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/nphys2819","article-title":"Spontaneous recovery in dynamical networks","volume":"10","author":"Majdandzic","year":"2014","journal-title":"Nat Phys"},{"key":"10.1016\/j.cnsns.2026.110432_bib0016","doi-asserted-by":"crossref","DOI":"10.1038\/ncomms10850","article-title":"Multiple tipping points and optimal repairing in interacting networks","volume":"7","author":"Majdandzic","year":"2016","journal-title":"Nat Comm"},{"key":"10.1016\/j.cnsns.2026.110432_bib0017","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.118.088301","article-title":"Critical behaviors in contagion dynamics","volume":"118","author":"B\u00f6ttcher","year":"2017","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0018","article-title":"Non-markovian recovery makes complex networks more resilient against large-scale failures","volume":"11","author":"Lin","year":"2020","journal-title":"Nat Comm"},{"key":"10.1016\/j.cnsns.2026.110432_bib0019","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.eng.2023.12.007","article-title":"Spontaneous recovery in directed dynamical networks","volume":"37","author":"Liu","year":"2024","journal-title":"Engineering"},{"key":"10.1016\/j.cnsns.2026.110432_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2025.130788","article-title":"Resilience of interdependent hypergraphs in failure-recovery spreading process","volume":"675","author":"Luo","year":"2025","journal-title":"Phys A"},{"key":"10.1016\/j.cnsns.2026.110432_bib0021","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.96.208701","article-title":"Epidemic dynamics on an adaptive network","volume":"96","author":"Gross","year":"2006","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0022","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1098\/rsif.2010.0142","article-title":"Modelling the influence of human behaviour on the spread of infectious diseases: a review","volume":"7","author":"Funk","year":"2010","journal-title":"J R Soc Interface"},{"key":"10.1016\/j.cnsns.2026.110432_bib0023","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2023.08.001","article-title":"Adaptive dynamical networks","volume":"1031","author":"Berner","year":"2023","journal-title":"Phys Rep"},{"key":"10.1016\/j.cnsns.2026.110432_bib0024","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.82.036116","article-title":"Adaptive networks: coevolution of disease and topology","volume":"82","author":"Marceau","year":"2010","journal-title":"Phys Rev E"},{"key":"10.1016\/j.cnsns.2026.110432_bib0025","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.81.046120","article-title":"Enhanced vaccine control of epidemics in adaptive networks","volume":"81","author":"Shaw","year":"2010","journal-title":"Phys Rev E"},{"key":"10.1016\/j.cnsns.2026.110432_bib0026","doi-asserted-by":"crossref","DOI":"10.1088\/1367-2630\/14\/12\/123017","article-title":"Efficient community-based control strategies in adaptive networks","volume":"14","author":"Yang","year":"2012","journal-title":"New J Phys"},{"key":"10.1016\/j.cnsns.2026.110432_bib0027","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.97.042306","article-title":"Bursting endemic bubbles in an adaptive network","volume":"97","author":"Sherborne","year":"2018","journal-title":"Phys Rev E"},{"key":"10.1016\/j.cnsns.2026.110432_bib0028","doi-asserted-by":"crossref","first-page":"3884","DOI":"10.1016\/j.camwa.2018.02.035","article-title":"A non-markovian sir network model with fixed infectious period and preventive rewiring","volume":"75","author":"Li","year":"2018","journal-title":"Comp Math App"},{"key":"10.1016\/j.cnsns.2026.110432_bib0029","doi-asserted-by":"crossref","DOI":"10.1155\/2019\/1486909","article-title":"How does active participation affect consensus: adaptive network model of opinion dynamics and influence maximizing rewiring","volume":"2019","author":"Brede","year":"2019","journal-title":"Complexity"},{"key":"10.1016\/j.cnsns.2026.110432_bib0030","doi-asserted-by":"crossref","DOI":"10.1088\/1674-1056\/abe1ab","article-title":"Contagion dynamics on adaptive multiplex networks with awareness-dependent rewiring","volume":"30","author":"Peng","year":"2021","journal-title":"Chin Phys B"},{"key":"10.1016\/j.cnsns.2026.110432_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.amc.2020.125286","article-title":"Markov-based solution for information diffusion on adaptive social networks","volume":"380","author":"Liu","year":"2020","journal-title":"App Math Comp"},{"key":"10.1016\/j.cnsns.2026.110432_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2022.111849","article-title":"Epidemic spreading in populations of mobile agents with adaptive behavioral response","volume":"156","author":"Ventura","year":"2022","journal-title":"Chaos Solit Fractals"},{"key":"10.1016\/j.cnsns.2026.110432_bib0033","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.129.028101","article-title":"Memory formation in adaptive networks","volume":"129","author":"Bhattacharyya","year":"2022","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.cnsns.2026.110432_bib0034","series-title":"Proc Int Conf World Wide Web Companion","first-page":"1343","article-title":"KONECT-the koblenz network collection","author":"Kunegis","year":"2013"},{"key":"10.1016\/j.cnsns.2026.110432_bib0035","series-title":"Language technologies","first-page":"143","article-title":"Network analysis of texts","author":"Batagelj","year":"2002"}],"container-title":["Communications in Nonlinear Science and Numerical Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1007570426007860?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1007570426007860?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T23:32:18Z","timestamp":1784676738000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1007570426007860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":35,"alternative-id":["S1007570426007860"],"URL":"https:\/\/doi.org\/10.1016\/j.cnsns.2026.110432","relation":{},"ISSN":["1007-5704"],"issn-type":[{"value":"1007-5704","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Revealing the failure-recovery propagation dynamics in adaptive networks","name":"articletitle","label":"Article Title"},{"value":"Communications in Nonlinear Science and Numerical Simulation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cnsns.2026.110432","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110432"}}