Text Network Analysis with Gephi from Dmitry Paranyushkin on Vimeo.

• Easley & Kleinberg, Networks, Crowds and Markets, Ch1. Overview.

• Albert-László Barabási, Network Science, Ch 1. Introduction

• Albert-László Barabási, Network Science, Ch 2, sections 2-6,9

• (for the mathematically minded:) Newman, M. E. J. The Structure and Function of Complex Networks. SIAM Review. 45 (2003): Section IV (Random Graphs) p. 20-24 and Section VII (Models of network growth) p.30-37.
• AL Barabási, R Albert, Emergence of scaling in random networks,Science, 1999.

• Linked by Albert-László Barabási
• Six Degrees by Duncan Watts.
•  Nexus by Mark Buchanan and Connected by Nicholas Christakis and James Fowler.

• Wayne E. Baker & Robert R. Faulkner, The Social Organization of Conspiracy: Illegal Networks in the Heavy Electrical Equipment Industry, American Sociological Review, 58(6), 1993.
• Sinan Aral and Marshall Van Alstyne,Network Structure and Information Advantage, working paper (full, longer paper published as The Diversity-Bandwidth Trade-Off,American Journal of Sociology, 2011

• MEJ Newman, Modularity and community structure in networks, PNAS 103 (23), p. 8577-8582 (2006).
• Palla et al., 'Uncovering the overlapping community structure of complex networks in nature and society', Nature 435, 814-818 (9 June 2005).
• Santo Fortunato, Community detection in graphs, Physics Reports 486, 75-174 (2010)

• Easley & Kleinberg, Networks, Crowds and Markets, Ch20. The Small-World Phenomenon.
• Watts & Strogatz, Collective Dynamics of Small World Networks, Nature 393, 440-442 (4 June 1998).
• Travers & Milgram, An Experimental Study of the Small World Problem,Sociometry, Vol. 32, No. 4 (Dec., 1969).

• Kilworth & Bernard, The Reveral Small-World Experiment, Social Networks, 1 (1978/79) 159-192.
• Kilworth, McCarthy, Bernard & House. (2006). The Accuracy of Small World Chains in Social Networks. Social Networks 28(1): 85-96.
• Dodds, Muhammad, and Watts, An Experimental Study of Search in Global Social Networks", Science, 301, 827-829 (2003).
• D. J. Watts, P. S. Dodds, and M. E. J. Newman. Identity and Search in Social Networks, Science, 296, 1302-1305 (2002).
• Jon Kleinberg, The Small-World Phenomenon, An Algorithmic Perspective.
• J. Kleinberg. Small-World Phenomena and the Dynamics of Information. Advances in Neural Information Processing Systems (NIPS) 14, 2001.
• Mathias & Gopal, Small worlds: How and why, PRE 2001.
• Gastner & Newman,The spatial structure of networks, Michael T. Gastner and M. E. J. Newman, Eur. Phys. J. B 49, 247–252 (2006).

Liben-Nowell et al. Geographic Routing in Social Networks, PNAS 102(33):11623-11628, 2005.

Cytoescape

Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization
"Cytoscape is an open source bioinformatics software platform forvisualizing molecular interaction networks and biological pathways andintegrating these networks with annotations, gene expression profiles and other state data.   Although Cytoscape was originally designed for biological research, now it is a general platform for complex network analysis and visualization.   Cytoscape core distribution provides a basic set of features for data integration and visualization.   Additional features are available as plugins.   Plugins are available for network and molecular profiling analyses, new layouts, additional file format support, scripting, and connection with databases"

Edit Pad. Online Text Editor

Yo La Tengo - Our Way To Fall

Fanmod. A Tool for fast network motif detention.

Fanmod. A Tool for fast network motif  detention.

The program was written by Florian Rasche and Sebastian Wernicke (homepage, email). Sebastian Wernicke's research is funded by a scholarship from the Deutsche Telekom Stiftung. Florian Rasche's position as a student research assistant is funded by the Deutsche Forschungsgemeinschaft, project PEAL (Parameterized Complexity and Exact Algorithms), NI 369/1.

CFinder is a free software for finding and visualizing overlapping dense groups of nodes in networks, based on the Clique Percolation Method (CPM) of Palla et. al., Nature 435, 814-818 (2005). CFinder was recently applied to the quantitative description of the evolution of social groups: Palla et. al., Nature 446, 664-667 (2007).