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Rare Events in Complex Systems: Understanding and Prediction

Complex systems such as the earth, brain, human society, and infrastructure systems experience events which are rare in frequency but can have catastrophic consequences. A new approach which has shown promise in the analysis and prediction of rare events is the theory of complex networks. In this Focus Issue, we discuss different tools from network science and dynamical systems that could potentially improve our understanding of rare events in complex systems and provide us the ability to predict and mitigate their unpleasant outcomes.

Guest Editors: Ugur Öztürk and Nishant Malik

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Nishant Malik; Ugur Ozturk
Nishant Malik
Timo Bröhl; Klaus Lehnertz
F. Bauzá; G. Ruiz-Manzanares; L. Pérez-Sienes; A. Tarancón; D. Íñiguez; J. Gómez-Gardeñes
Fang Yang; Yayun Zheng; Jinqiao Duan; Ling Fu; Stephen Wiggins
Kevin K. W. Cheung; Ugur Ozturk
Arindam Mishra; S. Leo Kingston; Chittaranjan Hens; Tomasz Kapitaniak; Ulrike Feudel; Syamal K. Dana
Pavan Kumar Yeditha; Venkatesh Kasi; Maheswaran Rathinasamy; Ankit Agarwal
Huanyu Wu; Yong Zou; Lincoln M. Alves; Elbert E. N. Macau; Gilvan Sampaio; Jose A. Marengo
Aanjaneya Kumar; Suman Kulkarni; M. S. Santhanam
Ravi Kumar Guntu; Pavan Kumar Yeditha; Maheswaran Rathinasamy; Matjaž Perc; Norbert Marwan; Jürgen Kurths; Ankit Agarwal
Frederik Wolf; Jurek Bauer; Niklas Boers; Reik V. Donner
Mohammad Farazmand
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