1 Amazon
Note: This dataset is a proper subset of SNAP%20(Stanford%20Network%20Analysis%20Platform)%201cd77eaee57147ce8263b2f9eaa2589c.md and can be found there. Origin Notes: Wallinger et al. randomly filter data from the original dataset collected by Leskovec et al. in The dynamics of viral marketing. Leskovec et al. collected 15 million recommendations made from June 2001, to May 2003 by looking at the “Customers who Bought This Item Also Bought” feature in the Amazon online shopping platform. graph features handled: Directed edges, Large Graph features in papers: bundled edges (generated),spatial Origin Paper: SNAP Datasets: Stanford Large Network Dataset Collection (https://www.notion.so/SNAP-Datasets-Stanford-Large-Network-Dataset-Collection-b5f4bd2e98834a638a5c4ab563047d28?pvs=21), The dynamics of viral marketing (https://www.notion.so/The-dynamics-of-viral-marketing-f45ebdd22e5f4a95a1456bc1ae1b0fdb?pvs=21) Originally found at: http://snap.stanford.edu/data/#amazon Size: 1 graph, 192k vertices and 269k edges Number of Graphs: 0 Child collections: SNAP (Stanford Network Analysis Platform) (SNAP%20(Stanford%20Network%20Analysis%20Platform)%201cd77eaee57147ce8263b2f9eaa2589c.md) Appeared in years: 2022 Type of Collection: Subset of other collection is it stored properly?: No must be analyzed: No In repo?: No Related to Literature - Algorithm (1) (Dataset tag relations): Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach (https://www.notion.so/Edge-Path-Bundling-A-Less-Ambiguous-Edge-Bundling-Approach-932f56be1ec24c50a2c3fc65a37ed172?pvs=21) cleaned format?: No duplicate?: No link works?: No Added in paper: No Origin paper plaintext: SNAP Datasets: Stanford Large Network Dataset Collection, The dynamics of viral marketing Page id: 1b39a766deb747b8a3b51fc41cfc2e20 unavailable/skip: Yes Cleaned ALL data: No first look: Yes Related to Literature - Algorithm (Dataset tag relations) 1: Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/Edge-Path%20Bundling%20A%20Less%20Ambiguous%20Edge%20Bundling%20%20fcfa5882e692481298cbee906e005c30.md)
2 Body
Description from Literature
From Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach:
Amazon Subset
This dataset consists of products with edges indicating that they are commonly co-purchased. We randomly filtered edges from the original graph [33], [34]. It has |V|=192k vertices and |E|=269k edges.
Example Figures
From Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach:
== STOP RENDERING ==
look here: https://github.com/mwallinger-tu/edge-path-bundling/tree/master/data from Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach
Note: Amazon is the only dataset not included in their GitHub. They randomly sampled a graph with 192k vertices and 269k edges from the data collected by Leskovec et al in the SNAP dataset
Original dataset: http://snap.stanford.edu/data/#amazon
doi: 10.1145/1134707.1134732 (subgraph of a SNAP collection graph)