Minas Gjoka

This dataset contains 36,628 egonets with 5,628,206 non-unique users, the gender for all users, and maximal clique size distribution for each egonet and by gender.

This dataset is complementary to the Big Data Challenge dataset which split the city of Milan, Italy into a 100 × 100 square grid. For each square defined in the original data set, we gathered the following information: population, %green area, #sport centers, #of universities, #businesses, and #bus stops. The source of the information was the Municipality of Milan’s Open Data website.

This dataset consists of (i) four single random walk crawls of Last.FM's social graph, each containing 250K users and executed within the following four relations: Friends, Events, Groups, Neighbors (ii) three multigraph random walk crawls of Last.FM's social graph, each containing 250K users and executed within the following three combinations of relations: Friends_Events, Friends_Events_Groups, Friends_Events_Groups_Neighbors (iii) 1 uniform sample of Last.FM that contains 500K users and serves as the ground truth.

This datasets contains the following category-to-category graphs derived from the Facebook social graph: universities graph, countries graph, north america counties graph, UK cities graph.

This dataset contains two samples obtained from the Facebook social graph: a sample of 957K unique users and their friends obtained by 28 independent Metropolis-Hastings random walks and a sample of 984K unique users and their friends, that represents the “ground truth”, selected by a rejection sampling procedure from the system's 32-bit ID space.

This dataset contains two samples obtained from the Facebook social graph: a sample of 2,198K unique users and their friends collected by 28 independent Breadth-First-Search traversals of length 81K and a sample of 1,189K unique users and their friends collected by 1 Breadth-First-Search traversal.

This dataset contains two samples obtained from the Facebook social graph: a sample of 1M unique users obtained by 25 independent simple Random Walks and a sample of 1M unique users obtained by 25 independent Stratified Weighted Random Walks (S-WRW) with hybrid conflict resolution. The measurement objective in the Hybrid sample is the collection of Facebook users with college network membership.

This dataset contains (i) the number of active users and total application installations daily for every Facebook application between 08/29/2007 and 02/14/2008 and (ii) the list of installed applications for 297K Facebook users in February 2008.