Links

Related Courses

• CS224W-2018 - Analysis of Networks / Mining and Learning with Graphs (Jure Leskovec, Stanford University)
• CS224W - Machine Learning with Graphs (Jure Leskovec, Stanford University)
• CS2850 - Networks (D. Easley and A. Benson, Cornell University)
• CSCS535 - Network Theory (Mark Newman, University of Michigan)
• ECE442 - Network Science Analytics (Gonzalo Mateos, University of Rochester)

Books

• Network Science (Albert-László Barabási) [book available online]
• Networks, Crowds, and Markets: Reasoning About a Highly Connected World
  (David Easley and Jon Kleinberg) [book available online]
• Networks (Mark Newman)

Some websites with network datasets

• KONECT - The Koblenz Network Collection
• Network Repository
• The Colorado Index of Complex Networks (ICON)
• Stanford Large Network Dataset Collection
• Mark Newman Network Data
• Movie Galaxies (Harvard Dataverse)
• Gephi Datasets
• Pajek Datasets

Some useful software

• Gephi - The Open Graph Viz Platform
• Cytoscape - An Open Source Platform for Complex Network Analysis and Visualization
• SNAP - Stanford Network Analysis Platform: C++ / Python
• NetworkX (python package for analysing complex networks)
• igraph – The network analysis package (available for Python, C/C++, R and Mathematica)
• NetLogo - multi-agent programmable modeling environment
• gtrieScanner - Quick Discovery of Network Motifs

Last update: