08 datasets
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This document lists and describes several large network dataset collections for research purposes. It includes social networks, communication networks, citation networks, collaboration networks, web graphs, product networks, road networks, and more. Sources provided include the Stanford Large Network Dataset Collection, a Twitter dataset, leaked Facebook pages, UCIrvine Datasets, and additional results. The datasets cover a wide range of network types and can be used to study interactions in online social networks, information cascades, and networked communities.
08 datasets
- 1. Dataset Repositories Fabio Fumarola Computer Science Department University of Bari
- 2. Stanford Large Network Dataset Collection https://snap.stanford.edu/data/ • Social networks : online social networks, edges represent interactions between people • Networks with ground-truth communities : ground-truth network communities in social and information networks •Communication networks : email communication networks with edges representing communication • Citation networks : nodes represent papers, edges represent citations • Collaboration networks : nodes represent scientists, edges represent collaborations (co-authoring a paper) •Web graphs : nodes represent webpages and edges are hyperlinks •Amazon networks : nodes represent products and edges link commonly co-purchased products • Internet networks : nodes represent computers and edges communication • Road networks : nodes represent intersections and edges roads connecting the intersections • Autonomous systems : graphs of the internet • Signed networks : networks with positive and negative edges (friend/foe, trust/distrust) • Location-based online social networks : Social networks with geographic check-ins • Wikipedia networks and metadata : Talk, editing and voting data from Wikipedia • Twitter and Memetracker : Memetracker phrases, links and 467 million Tweets • Online communities : Data from online communities such as Reddit and Flickr • Online reviews : Data from online review systems such as BeerAdvocate and Amazon • Information cascades : ...
- 4. 100 Million facebook pages http://it.slashdot.org/story/10/07/28/1350222/100-Million-Facebook-Pages-Leaked-On-Torrent- Site?art_pos=6
- 6. Additional Results • http://stats.stackexchange.com/questions/4451/socia l-network-datasets • https://networkdata.ics.uci.edu/resources.php • http://kevinchai.net/datasets • https://archive.org/details/friendster-dataset-201107 • http://realitycommons.media.mit.edu/socialevolution .html