## Self-organized Complexity in the Physical, Biological, and Social SciencesDonald Lawson Turcotte, John Rundle, Hans Frauenfelder |

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### Contents

Selforganized complexity in the physical biological and social sciences | 2463 |

Alterations with disease and aging | 2466 |

Allometric scaling of metabolic rate from molecules and mitochondria to cells and mammals | 2473 |

Paradigms of complexity | 2479 |

Turbulence in nature and in the laboratory | 2481 |

What might we learn from climate forecasts? | 2487 |

A pathway to longrange forecasting? | 2493 |

Positive feedback memory and the predictability of earthquakes | 2501 |

Material rupture earthquakes turbulence financial crashes and human birth | 2522 |

Selforganization the cascade model and natural hazards | 2530 |

Complexity and robustness | 2538 |

Natural variability of atmospheric temperatures and geomagnetic intensity over a wide range of time scales | 2546 |

An example of complexity in the marine sciences | 2554 |

Selforganized complexity in economics and finance | 2561 |

Random graph models of social networks | 2566 |

Critically examining criticality | 2573 |

Unified scaling law for earthquakes | 2509 |

The influence of nearmean field dynamics and its implications for earthquakes neurobiology and forecasting | 2514 |

### Common terms and phrases

Academy of Sciences analysis Atmos atmosphere average BA model behavior biological Cape Hatteras cascade cascading failure cells climate clusters complex systems compute correlation critical point cumulative data set degree distribution density dynamics energy ensemble equation example finite-time singularity flow fluctuations forecast forest fire forest fire model fractal frequency frequency-area function Geophys Ghil giant component given graph grid increase interactions Internet traffic interval landslides Lett long-range magnitude mammals mechanisms metabolic rate mitochondria National Academy Nature London networks noise noncumulative nonlinear observed organisms oscillations parameter percolation phase phenomena Phys physics plot power law power spectrum prediction random random graph regimes region respiratory complex robust Rundle rupture scale invariance scaling exponent seismic self-affine Self-Organized Complexity self-organized criticality self-similar shoreline change Somette Sornette Stanley statistics stress structure temperature theory threshold transition trees turbulence Turcotte Univ values variability velocity vertex degree vertices wavelet