System crash as dynamics of complex networks
Complex systems, from animal herds to human nations, sometimes crash drastically. Although the growth and evolution of systems have been extensively studied, our understanding of how systems crash is still limited. It remains rather puzzling why some systems, appearing to be doomed to fail, manage t...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 113; no. 42; pp. 11726 - 11731 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
18.10.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Complex systems, from animal herds to human nations, sometimes crash drastically. Although the growth and evolution of systems have been extensively studied, our understanding of how systems crash is still limited. It remains rather puzzling why some systems, appearing to be doomed to fail, manage to survive for a long time whereas some other systems, which seem to be too big or too strong to fail, crash rapidly. In this contribution, we propose a network-based system dynamics model, where individual actions based on the local information accessible in their respective system structures may lead to the “peculiar” dynamics of system crash mentioned above. Extensive simulations are carried out on synthetic and real-life networks, which further reveal the interesting system evolution leading to the final crash. Applications and possible extensions of the proposed model are discussed. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 1Y.Y., G.X., and Z.W. contributed equally to this work. Author contributions: Y.Y., G.X., J.Z., Y.W., Z.W., J.K., and H.J.S. designed research; Y.Y., G.X., J.Z., Y.W., and Z.W. performed research; and Y.Y., G.X., Z.W., J.K., and H.J.S. wrote the paper. Reviewers: Y.-C.L., Arizona State University; and M.P., University of Maribor. Contributed by Hans Joachim Schellnhuber, August 11, 2016 (sent for review June 8, 2016; reviewed by Ying-Cheng Lai and Matjaz Perc) |
ISSN: | 0027-8424 1091-6490 |
DOI: | 10.1073/pnas.1612094113 |