Networks

Courses

• Networks Illustrated: Principles without Calculus Princeton University

Books

• Lectures on Network Systems
• Handbook of Graph Drawing and Visualization
• Network Data Science

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/