Networks
Courses
Books
Links
- Network Science Education: https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/resources
- Graph traversal algorithms: https://workshape.github.io/visual-graph-algorithms/
- Network tools repository: https://github.com/junipertcy/Network-Code-Repository
- Resources on NRL: network representation learning. NE: network embedding: https://github.com/thunlp/NRLPapers
- Resources on KRL: knowledge representation learning. KE: knowledge embedding: https://github.com/thunlp/KRLPapers
- VAX Network epidemic game: http://vax.herokuapp.com/
- The NetLogo NW Extension for Network Analysis - https://github.com/NetLogo/NW-Extension
- GraphBLAS - https://github.com/GraphBLAS/GraphBLAS-Pointers - Tutorial
- CREATING EFFECTIVE NETWORK DATA VISUALIZATION WITH D3.JS @ELIJAH_MEEKS - http://elijahmeeks.com/networkviz/
- INCOMPLETENESS IN NETWORKS: BIASES, SKEWED RESULTS, AND SOME SOLUTIONS - http://eliassi.org/kdd19_tut_network_discovery_slides.pdf
- Literature of Deep Learning for Graphs - https://github.com/DeepGraphLearning/LiteratureDL4Graph
- Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
Datasets:
- News citation networks (temporal): https://dbs.ifi.uni-heidelberg.de/resources/data/
- Wikipedia event triples data: https://event.ifi.uni-heidelberg.de/?page_id=8
- Network data repository: http://networkrepository.com/
- Index of complex networks: https://icon.colorado.edu/#!/about
- Awesome List: https://github.com/briatte/awesome-network-analysis
- Networks from various social media platforms: http://socialcomputing.asu.edu/pages/datasets?att=dateAdded&order=ASC
- Networks between fb pages, music users, wiki: https://github.com/benedekrozemberczki/datasets/
- Temporal network of people participating in teams to build lego projects: https://www.pnas.org/content/suppl/2019/10/09/1909827116.DCSupplemental
- Frequently update list of temporal interaction networks collected using RFID tags: http://www.sociopatterns.org/datasets/
- Co-citation networks of all Nature papers: https://www.nature.com/immersive/d41586-019-03165-4/index.html
- Network datasets - https://gitlab.com/cristophersfr/fisher-networks
- Pajek datasets (including temporal networks) - http://vladowiki.fmf.uni-lj.si/doku.php?id=pajek:data:index
- Open Graph Benchmark - https://ogb.stanford.edu/index.html
- Twitter Follow Graph (1,963,263,821 directed social links) - http://twitter.mpi-sws.org/
- Enron Dynamic Networks - https://figshare.com/articles/Last_FM_Jazz_Listeners_Dynamic_Network/3203410
- RELATIONAL DATASET REPOSITORY for relational ML - https://relational.fit.cvut.cz/
- Netzschleuder - 3k+ graph datasets - https://networks.skewed.de/
- The KONECT Project - 1.3k+ networks - http://konect.cc/
- Case Law Project (US Cases Open Text as well as Case Citation Networks) - https://case.law/download/
- Primer for Network Analysis - https://github.com/DennyBorsboom/NatureMethodsPrimer_NetworkAnalysis
- The Copenhagen Networks Study interaction data - https://figshare.com/articles/dataset/The_Copenhagen_Networks_Study_interaction_data/7267433/1?file=13389320
- Collection of Multilayer networks e.g. Twitter Infodemic - https://manliodedomenico.com/data.php
- Multilayer Social Networks - http://multilayer.it.uu.se/datasets.html
- House of Graphs - https://hog.grinvin.org/
- Graph Drawing Contest Datasets - http://mozart.diei.unipg.it/gdcontest/
- Mathematics Geneology Project Graph - http://mozart.diei.unipg.it/gdcontest/contest2018/topics.html
- ReconMap2: most comprehensive representation of human metabolism - https://www.vmh.life/#reconmap2
- Temporal Covid Mental Health Map - https://osf.io/mvdpe/
- A Global Book Reading Dataset (1M+ GoodReads network) - https://figshare.com/projects/A_Global_Book_Reading_Dataset/118854
- fauci-email: a json digest of Anthony Fauci's released emails - https://github.com/nveldt/fauci-email
Temporal Networks
- Quantum Physics semantic network evolution - https://github.com/MarioKrenn6240/SEMNET
- Science4Cast - Forcest future concept evolution in science - https://github.com/iarai/science4cast
- Traffic4Cast - Spatio temporal traffic forcasting - https://github.com/iarai/NeurIPS2021-traffic4cast
- Temporal higher-order networks (hypergraphs) - https://www.cs.cornell.edu/~arb/data/ GitHub
Signed networks
- Alliance Treaty Obligations and Provisions (ATOP) - http://www.atopdata.org/data.html
- Epinions signed network - https://snap.stanford.edu/data/soc-sign-epinions.html
- Wikipedia Admin Election - https://snap.stanford.edu/data/wiki-Elec.html
- Signed networks from SNAP group - https://snap.stanford.edu/data/index.html#signnets
Theory
- Graph Laplacian and Spectral Clustering - https://csustan.csustan.edu/~tom/Clustering/GraphLaplacian-tutorial.pdf
- Graph Drawing Theory - http://www.graphviz.org/theory/
Deep Learning on Networks
Tools
- Spektral - Keras based API with Tensorflow backend: https://spektral.graphneural.network/
- Message passing networks in Pytorch using Pytorch Geometry: https://rusty1s.github.io/pytorch_geometric/build/html/notes/create_gnn.html
- DGL - Deep Learning on Graphs: https://github.com/dmlc/dgl, https://www.dgl.ai/
- Deep Mind's Graph Nets: https://github.com/deepmind/graph_nets
- OpenNE various network embedding algorithms: https://github.com/thunlp/openne
- Dynamic Graph embeddings methods: https://github.com/palash1992/DynamicGEM
- GEM various Graph Embedding Methods: https://github.com/palash1992/GEM
- Knowledge graph embeddings: https://github.com/thunlp/openKE
- Information theory on networks: https://gitlab.com/cristophersfr/fisher-networks
- DynetworkX (Python package for importing and analyzing discrete- and continuous-time dynamic networks) - https://github.com/IdeasLabUT/dynetworkx
- Community Hawkes Independent Pairs model for timestamped relational event networks (includes datasets) - https://github.com/IdeasLabUT/CHIP-Network-Model
- muxViz - Multilayer network visualization tool in R - https://github.com/manlius/muxViz
- Build multi-agent simulations in minutes - https://hash.ai/
- DeepSnap - https://github.com/snap-stanford/deepsnap
- Little Ball of Fur - Sampling from Graphs - https://little-ball-of-fur.readthedocs.io/
- NetworKit - Large Scale Network Analysis in Python - https://networkit.github.io/index.html
- PathPy - Temporal Network Analysis - https://www.pathpy.net/index.html
- Bandicoot:an open-source Python toolbox to analyze mobile phone metadata - https://cpg.doc.ic.ac.uk/bandicoot/
Tutorials
- All types of graph neural networks GCN, Graph GANs etc: https://www.cl.cam.ac.uk/~pv273/slides/Oxf-AdvGraph.pdf
- Incompleteness in Networks: Biases, Skewed Results, and Some Solutions (by Tina Eliassi-Rad Rajmonda Caceres and Timothy LaRock): https://www.kdd.org/kdd2019/
- Generative Models for Social Media Analytics: Networks, Text, and Time - https://github.com/kevin-s-xu/ICWSM-2018-Generative-Tutorial
- Statistical models for analyzing dynamic social network data - Video Slides
- A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications - https://arxiv.org/abs/1709.07604
- Signal Processing and Machine Learning on Graphs - http://web.media.mit.edu/~xdong/talk/EconomicNetworks_GSP.pdf - http://web.media.mit.edu/~xdong/resource.html
Network Analysis tools
- Community detection on igraph: https://leidenalg.readthedocs.io/en/latest/index.html
- Network reconstruction from time series data and network distances: https://github.com/netsiphd/netrd/
Visualization
- NetworkX with Altair backend - https://github.com/Zsailer/nx_altair
- Temporal co-citation networks of all Nature papers: https://www.nature.com/immersive/d41586-019-03165-4/index.html
Large scale graph visualization
- El-grapho client slide JS library for large graphs - https://github.com/ericdrowell/ElGrapho
- Graphistry server - https://github.com/graphistry/pygraphistry
- Realtime graph visualization: http://graphvis.com/
- Multilayer Networks in LaTeX - https://github.com/hackl/tikz-network
- GPU-accelerated Force Graph in browser - https://github.com/cosmograph-org/cosmos
Network signals
- Great posts on the benefits of using network signals in identifying fake news:
- https://hapgood.us/2019/03/28/network-heuristics/
- https://hapgood.us/2018/02/18/recognition-is-futile-why-checklist-approaches-to-information-literacy-fail-and-what-to-do-about-it/
- https://hapgood.us/2018/09/14/a-short-history-of-craap/