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

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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

Clauset, A. Power-law distributions in empirical data

Lauren Ancel Meyers' lecture (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.


Dicon Disease Control System

Melanie Mitchell's lecture (Network Modeling Tools):

D. J. Watts and S. H. Strogatz, Collective dynamics of 'small-world' networks. Nature, 393, 440-442, 1998.

E. Bullmore and O. Sporns, The economy of brain network organization. Nature Reviews Neuroscience, 13, 336-349, 2012.

Jennifer Dunne's lecture (Ecological Networks):

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

Simon DeDeo's lecture (How Groups Think: Emergence and Cognition in Social Systems):

DeDeo, S. 2012. Evidence for Non-Finite-State Computation in a Human Social System. Working Paper, Santa Fe Institute.

Rehmeyer, J. 2013. Probing Wikipedia editors' hive mind. Article, Science News

DeDeo, S. The Coin Toss and the Love Triangle. Article, Nautilus.

Paul Hines' lecture (The Power Grid as a Complex Network):

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.

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]

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]

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.

Bernardo Huberman's lecture (Social Media and the Attention Economy):

B. Huberman, Social Computing and the Attention Economy, Journal of Statistical Physics, 151, 1-2, 329-339, 2013.

Lanier, J. Fixing the Digital Economy

Cris Moore's lecture (Dealing with Uncertainty in Networks):

A. Clauset, C. Moore, and M. E. J. Newman, Hierarchical structure and the prediction of missing links in networks. Nature, 453, 98-101, 2008.

C. Moore, X. Yan, Y. Zhu, J.-B. Rouquier, and T. Lane, Active learning for node classification in assortative and disassortative networks. Proc. 17th Int. Conf. on Knowledge Discovery and Data Mining (KDD '11), 841-849.

Luis Bettencourt's lecture (The Origin of Scaling in Cities):

L. Bettencourt, The Origins of Scaling in Cities Abstract

L. Bettencourt, The origin of scaling in cities, Science, 340, 6139, 1438-1441, 2013.

L. Bettencourt, The Kind of Problem a City Is

Other Reading:

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