Network Science (2019/2020)
Links
Related Courses
CS224W - Analysis of Networks: Mining and Learning with Graphs
(Jure Leskovec, Stanford University)
CS2850 - Networks
(D. Easley and A. Benson, Cornell University)
PHYS5115 - Complex Networks
(Albert-László Barabási, Northeastern University)
CSCS535 - Network Theory
(Mark Newman, University of Michigan)
CSCI5352 - Network Analysis and Modeling
(Aaron Clauset, Santa Fe Institute)
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
(
another KONECT website
)
Stanford Large Network Dataset Collection
Mark Newman Network Data
Network Repository
Pajek Datasets
Some useful software
Cytoscape - An Open Source Platform for Complex Network Analysis and Visualization
Gephi - The Open Graph Viz Platform
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
Última actualização:
08/07/2020 00:46:53