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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
10.1063/5.0024145
Nishant Malik
10.1063/5.0012059
Timo Bröhl; Klaus Lehnertz
10.1063/5.0002743
F. Bauzá; G. Ruiz-Manzanares; L. Pérez-Sienes; A. Tarancón; D. Íñiguez; J. Gómez-Gardeñes
10.1063/1.5139019
Fang Yang; Yayun Zheng; Jinqiao Duan; Ling Fu; Stephen Wiggins
10.1063/5.0006626
Kevin K. W. Cheung; Ugur Ozturk
10.1063/1.5144150
Arindam Mishra; S. Leo Kingston; Chittaranjan Hens; Tomasz Kapitaniak; Ulrike Feudel; Syamal K. Dana
10.1063/1.5144143
Pavan Kumar Yeditha; Venkatesh Kasi; Maheswaran Rathinasamy; Ankit Agarwal
10.1063/5.0008195
Huanyu Wu; Yong Zou; Lincoln M. Alves; Elbert E. N. Macau; Gilvan Sampaio; Jose A. Marengo
10.1063/5.0004348
Aanjaneya Kumar; Suman Kulkarni; M. S. Santhanam
10.1063/1.5139018
Ravi Kumar Guntu; Pavan Kumar Yeditha; Maheswaran Rathinasamy; Matjaž Perc; Norbert Marwan; Jürgen Kurths; Ankit Agarwal
10.1063/1.5145005
Frederik Wolf; Jurek Bauer; Niklas Boers; Reik V. Donner
10.1063/1.5134012
Mohammad Farazmand
10.1063/1.5137825
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