# Exploring Complexity in Science and Technology from a Santa Fe Institute Perspective - Readings 2013

### From Santa Fe Institute Events Wiki

### Background Readings (optional)

**General Complex Systems:**

M. Mitchell, Complexity: A Guided Tour (this book will be provided to all participants).

**Aaron Clauset's lectures (Introduction to Networks):**

Duncan Watts, Six Degrees: The Science of a Connected Age

A. L. Barabasi, Linked: How Everything Is Connected to Everything Else and What It Means

Mark Newman, Networks: An Introduction

Mark Newman, Structure and function of complex networks

**Lauren Ancel Meyers' Lectures (Networks in Epidemiology):**

Bansal, S., J. Read, B. Pourbohloul, L.A. Meyers (2010) The dynamic nature of contact networks in infectious disease epidemiology. Journal of Biological Dynamics 4: 478-489.

**Jennifer Dunne's Lectures (Ecological Networks):**

Dunne, J.A. 2009. Food webs. Pages 3661-3682 in the “Complex Networks and Graph Theory” section of the Encyclopedia of Complexity and Systems Science, ed. R.A. Meyers. Springer, New York.

**Paul Hines' lectures (Power Grid):**

Charles D. Brummitt, Paul D. H. Hines, Ian Dobson, Cristopher Moore, Raissa M. D'Souza, Transdisciplinary electric power grid science. Proceedings of the National Ac1ademy of Sciences, USA, vol. 110, no. 30. http://arxiv.org/abs/1307.7305

E. Cotilla-Sanchez, P. Hines, C. Barrows, S. Blumsack, M. Patel, Multi-attribute Partitioning of Power Networks Based on Electrical Distance. IEEE Transactions on Power Systems (in press) [pre-print] http://www.uvm.edu/~phines/publications/2013/cotilla-sanchez_2013

Eduardo Cotilla-Sanchez, Paul D. H. Hines, Clayton Barrows, and Seth Blumsack. Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure. IEEE Systems Journal, vol. 6, no. 4, 2012. [arxiv pre-print] http://arxiv.org/abs/1105.0214

P. Hines, E. Cotilla-Sanchez, S. Blumsack. Do topological models provide good information about vulnerability in electric power networks? Chaos: An interdisciplinary journal of non-linear science. vol. 20, no. 3, 2010. http://arxiv.org/abs/1002.2268

**Other Reading:**

Classic readings on Complex Systems Science can be found on the Complex Systems Summer School Background Readings page.