Introduction to the
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(CLAD Courses)Information on CLAD website: Course Overview / Course programme |
Instructor:
- Pedro Ribeiro (DCC / FCUP)
Slides
- [09:45 - 11:15] Part 1: part1.pdf (introduction, motivation, emergence of network science, essential concepts and terminology)
- [11:30 - 13:00] Part 2: part2.pdf (measuring real world networks, random graph models, node centrality)
- [14:30 - 16:00] Part 3: part3.pdf (community structure, visualization and analysis with Gephi)
- [16:15 - 17:45] Part 4: part4.pdf (network costruction, graph toolkits, other topics and further readings)
Resources directly used in the course
- NetLogo Visualizations:
- Datasets
- Facebook Ego Network: facebook.gephi
- Flight Network: airports.csv | routes.csv
- Movies: mg_bladerunner.gml | mg_godfather_ii.gml | mg_lordrings_returnking.gml | mg_pulp_fiction.gml | mg_starwars_v.gml
- Code:
- igraph: netscix2016_tutorial.zip (from https://kateto.net/netscix2016)
- NetworkX: jupyter notebook | html
Other Resources
- Related University Courses
- CC4063 & CC4095 - Network Science (Pedro Ribeiro, University of Porto)
- 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
- Network Repository
- Stanford Large Network Dataset Collection
- Mark Newman Network Data
- Pajek Datasets
- Movie Galaxies (Harvard Dataverse)
- The Colorado Index of Complex Networks (ICON)
- Gephi 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
- ts2net - an R package to transform one or multiple time series into networks