{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T02:18:59Z","timestamp":1775182739805,"version":"3.50.1"},"reference-count":145,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T00:00:00Z","timestamp":1590883200000},"content-version":"vor","delay-in-days":60,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000774","name":"Defense Threat Reduction Agency","doi-asserted-by":"publisher","award":["HDTRA1-14-1-0017"],"award-info":[{"award-number":["HDTRA1-14-1-0017"]}],"id":[{"id":"10.13039\/100000774","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UNMdP and CONICET","award":["PIP 00443\/2014"],"award-info":[{"award-number":["PIP 00443\/2014"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["PHY-1505000"],"award-info":[{"award-number":["PHY-1505000"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Cascading failure is a potentially devastating process that spreads on real-world complex networks and can impact the integrity of wide-ranging infrastructures, natural systems and societal cohesiveness. One of the essential features that create complex network vulnerability to failure propagation is the dependency among their components, exposing entire systems to significant risks from destabilizing hazards such as human attacks, natural disasters or internal breakdowns. Developing realistic models for cascading failures as well as strategies to halt and mitigate the failure propagation can point to new approaches to restoring and strengthening real-world networks. In this review, we summarize recent progress on models developed based on physics and complex network science to understand the mechanisms, dynamics and overall impact of cascading failures. We present models for cascading failures in single networks and interdependent networks and explain how different dynamic propagation mechanisms can lead to an abrupt collapse and a rich dynamic behaviour. Finally, we close the review with novel emerging strategies for containing cascades of failures and discuss open questions that remain to be addressed.<\/jats:p>","DOI":"10.1093\/comnet\/cnaa013","type":"journal-article","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T19:13:08Z","timestamp":1586373188000},"source":"Crossref","is-referenced-by-count":79,"title":["Cascading failures in complex networks"],"prefix":"10.1093","volume":"8","author":[{"given":"Lucas D","family":"Valdez","sequence":"first","affiliation":[{"name":"Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Louis","family":"Shekhtman","sequence":"additional","affiliation":[{"name":"Network Science Institute, Northeastern University, Boston, MA, USA"}]},{"given":"Cristian E","family":"La Rocca","sequence":"additional","affiliation":[{"name":"Instituto de Investigaciones F\u00edsicas de Mar del Plata (IFIMAR)-Departamento de F\u00edsica, FCEyN, Universidad Nacional de Mar del Plata-CONICET, Mar del Plata, Argentina and Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Transport and Communication, Shanghai Maritime University, Shanghai, China and Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Sergey V","family":"Buldyrev","sequence":"additional","affiliation":[{"name":"Department of Physics, Yeshiva University, New York, New York, USA; Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy and Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Paul A","family":"Trunfio","sequence":"additional","affiliation":[{"name":"Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Lidia A","family":"Braunstein","sequence":"additional","affiliation":[{"name":"Instituto de Investigaciones F\u00edsicas de Mar del Plata (IFIMAR)-Departamento de F\u00edsicas, FCEyN, Universidad Nacional de Mar del Plata-CONICET, Mar del Plata, Argentina and Department of Physics, Boston University, Boston, MA, USA"}]},{"given":"Shlomo","family":"Havlin","sequence":"additional","affiliation":[{"name":"Department of Physics, Bar Ilan University, Ramat Gan, Israel; Department of Physics, Boston University, Boston, MA, USA and Tokyo Institute of Technology, Yokohama, Japan"}]}],"member":"286","published-online":{"date-parts":[[2020,5,31]]},"reference":[{"key":"2021053100090992200_B1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198805090.001.0001","volume-title":"Networks","author":"Newman,","year":"2018"},{"key":"2021053100090992200_B2","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511791383","volume-title":"Dynamical Processes on Complex Networks","author":"Barrat,","year":"2008"},{"key":"2021053100090992200_B3","doi-asserted-by":"crossref","first-page":"4406","DOI":"10.1109\/TPWRS.2015.2510627","article-title":"North American blackout time series statistics and implications for blackout risk","volume":"31","author":"Carreras,","year":"2016","journal-title":"IEEE Trans. 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