System crash as dynamics of complex networks
Schellnhuber, Hans Joachim
Date of Issue2016
School of Electrical and Electronic Engineering
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.
Proceedings of the National Academy of Sciences of the United States of America
© 2016 The author(s) (published by National Academy of Sciences). This is the author created version of a work that has been peer reviewed and accepted for publication in Proceedings of the National Academy of Sciences of the United States of America, published by National Academy of Sciences on behalf of the author(s). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1073/pnas.1612094113].