Network Science (2024/2024)
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
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