ONLINE COURSES
 The Structure of Information Networks, by Jon Kleinberg at Cornell
 Networks, by Jon Kleinberg and Eva Tardos at Cornell
 Random Graphs and Complex Networks, by David Aldous at Berkeley
 Networks and Complexity in Social Systems, by Duncan Watts at Columbia
 Information Networks, by Amin Saberi at Stanford
 Social and Information Network Analysis, by Jure Leskovec at Stanford
 Networked Life, by Michael Kearns at University of Pennsylvania
 Fudamentals of Network Science and Engineering, by John Tsitsiklis at MIT
 Graphs and Networks in Systems Biology, by Reka Albert at Penn State
 Networks, by A. Ozdaglar at MIT
 Network Algorithms, by D. Shah at MIT
 Complex Networks, by A. Ganesh at Bristol
 Networks: Theory and Application,by Lada Adamic at UMich
 Networked Dynamic Systems, by Mehran Mesbahi at Washington
 Graphs and Networks, by Dan Spielman at Yale
 Spectral Graph Theory, by Dan Spielman at Yale
 Structure and Dynamics of Networked Information, by David Kempe at USC
 Networks, Complexity and Its Applications, by Cesar Hidalgo at MIT
 Network Representation of Complex Engineering Systems, by Christopher Magee at MIT
 Models and Methods for Random Networks, at EPFL
 Introduction on Network Analysis, at Heidelberg
 Graph Theory and Complex Networks, by M. van Steen
 Algebraic Methods in Combinatorics, by David Ellis
SELECTION OF BOOKS
 S. Janson, T. Luczak, and A. Rucinski, Random Graphs, Wiley, 2000
 B. Bollobás, Random Graphs, Second Edition, Cambridge University Press, 2001
 E. BenNaim, H. Frauenfelder, Z. Toroczkai, (Eds.), Complex Networks, Lecture Notes in Physics, Springer, 2003
 D. HristuVarsakelis and W.S. Levine (Eds.), Rensselaer Polytechnic Institute, Springer 2005.
 R. Durrett, Random Graph Dynamics, Cambridge University Press, 2006
 N. Nisan, T. Roughgarden, E. Tardos, V.V. Vazirani, Algorithmic Game Theory, Cambridge University Press, 2007
 S. Goyal, Connections: An Introduction to the Economics of Networks, Princeton University Press, Princeton and Oxford, 2007
 D.D. Siljak, LargeScale Dynamic Systems: Stability and Structure, Dover, 2007
 S. Meyn, Control Techniques for Complex Networks, Cambridge University Press, 2007
 R.A. Hanneman and M. Riddle, Introduction to Social Network Methods
 M. Jackson, Social and Economic Networks, Princeton Press, 2008.
 A. Barrat, M. Barthelemy, and A. Vespignani, Dynamical Processes in Complex Networks, Cambridge University Press, 2008
 E.D. Kolaczyk, Statistical Analysis of Network Data, Springer, 2009
 F. Bullo, J. Cortes and S. Martinez, Distributed Control of Robotic Networks, Princeton University Press, 2009
 G. Grimmett, Probability on Graphs, Oxford University Press, 2010
 D. Easley and J. Kleinberg, Networks, Crowds, and Markets, Cambridge University Press, 2010
 M.E.J. Newman, Networks: An Introduction, Oxford University Press, 2010
 M. Mesbahi and M. Egerstedt, Graph Theoretic Methods in Multiagents Networks, Princeton University Press, 2010
 P.V. Mieghem, Graph Spectra for Complex Networks, Cambridge University Press, 2011
 E. Estrada, The Structure of Complex Networks, Oxford University Press, 2011
 C. Bordenave, An Introduction to Random Graphs and Probabilistic Combinatorial Optimization, 2012
 R. Van Der Hofstad, Random Graphs and Complex Network, 2012
 M. van Steem, Graph Theory and Complex Networks, 2010
 Algorithmic Graph Theory, GNU book
 C. Godsil and R. Beezer, Explorations in Algebraic Graph Theory, GNU book
 R. Hanneman and M. Riddle, Introduction to Social Network Methods, 2005
 D. Kempe, Structure and Dynamics of Information in Networks, 2011
For a collection of papers, visit our reading seminar
COLLECTION OF NETWORK DATASETS
SOFTWARE TOOLS Complex Networks Package for MATLAB, by Lev Muchnik
 SNAP, a general purpose network analysis and graph mining developed by Jure Leskovec at Stanford
 Brain Connectivity Toolbox
 CSparse, MATLAB sparse matrix package developed by Tim Davis at University of Florida
 Pajek, free program for analysis and visualization of large networks
 Cytoscape, open source bioinformatics multiplatform java based package which handles network functions
 Casos Tools, networks tools from Carnegie Mellon
 Statnet, software tools for analysis of network data
 NetMiner, tool for analysis and visualization of networks
 GraphViz, open source graph visualization software
 Gephi is a visualisation and exploration platform
 GUESS, an exploratory data analysis and visualization tool for graphs and networks
 InfoVis Cyberinfrastructure, software framework for information visualization
 Analytic Technologies, software for social network analysis
 Network Workbench, a largescale network analysis, modeling and visualization toolkit
 Powerlaw Distributions in Empirical Data, tools for fitting heavytailed distributions to data
 iGraph is a free software package for creating and manipulating undirected and directed graphs
 Brain Connectivity Toolbox contains a large selection of complex network measures in Matlab
 NetworkX is a Python package for the creation, manipulation, and study of complex networks
 BOOST Graph Library (BGL), Boost is a widely used set of routines in C++ covering many topics
 Matlab package  MatlabBGL, the BGL is a section of BOOST devoted to graphs
 Louvain method, C++ and a matlab version of the program are freely available for download
 CFinder  Clique Percolation method for finding overlapping communities in networks
 Markov Cluster Algorithm (MCL), a fast clustering algorithm for graphs (community detection)
 Visualcomplexity, for anyone interested in the visualisation of complex networks
 OpenGeoDa is good for working with spatial data analysis
 NITRC: Resources for Neuroinformatics
 Ucinet
MISCELLANEOUS

