Resources | Principles of Complex Systems

Note: This is an archival, mostly functional site. All courses can be found here.

Analysis and visualization software for Unix-based systems:

NetworkX: Analysis code for Complex Networks based on Python goodness.
Gephi: Open source; data analysis built-in.
Graphviz: Command-line tools for producing graph visualizations. No analysis.
Visone: Social networks focus; visualization and analysis. GUI.
iGraph: Visualzation and analysis. Works as an extension to C, Python, Ruby, and R.

Online respositories of knowledge:

The On-Line Encyclopedia of Integer Sequences® (OEIS®).

Books:

To come.

Review articles (Physics):

S. Boccaletti et al.
Complex networks: Structure and dynamics
Physics Reports, 2006, Vol. 424, pp. 175–308.
M. E. J. Newman
The structure and function of complex networks
SIAM Review, 2003, Vol. 45, pp. 167–256.
R. Albert and A.-L. Barabási
Statistical mechanics of complex networks
Rev. Mod. Phys., 2002, Vol. 74, pp. 47–97

A few foundational papers:

S. H. Strogatz
Exploring Complex Networks
Nature, 2001, Vol. 410, pp. 268–276.
A.-L. Barabási and R. Albert
Emergence of scaling in random networks
Science, 1999, Vol. 286, pp. 509–511.
D. J. Watts and S. H. Strogatz
Collective dynamics of 'small-world' networks
Nature, 1998, Vol. 393, pp. 440–442.

Some relevant places to go:

The Vermont Complex Systems Center: http://vermontcomplexsystems.org.
The Wikipedia's entry on complex networks.
Visual Complexity: a collection of complex network visualizations.