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WBiCM
The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences. -
The Italian Music Dataset
The dataset is built by exploiting the Spotify and SoundCloud APIs. It is composed of over 14,500 different songs of both famous and less famous Italian musicians. Each song...-
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JSON
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MSN Search query log
The data consists of an MSN Search query log excerpt with 15 million queries, from US users, sampled over one month of activity. Data attributes made available per query: 1)... -
Egonetworks
This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of... -
Maximum entropy network reconstruction
This method reconstructs a bipartite network by using the Maximum Entropy principle. This method is useful to assess aggregated and single bank's systemicness and vulnerability... -
Tail granger causality network construction
This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series. -
Facebook EuroSys 2009
This dataset contains Social and interaction graphs representing two large-scale Facebook regional networks. Social graphs describe Facebook friendships between users... -
Facebook - New Orleans regional network
This dataset contains information about 90,269 users and 3,646,662 friendship links between those users. These users belong to the New Orleans Facebook regional network. The...-
HTML
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HTML
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CoPhIR
The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR:... -
Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
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Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Conversational search dataset with labels
CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without... -
Download mobility data with scikit-mobility
The data module of scikit-mobility provides users with an easy way to: 1) Download ready-to-use mobility data (e.g., trajectories, flows, spatial tessellations, and auxiliary... -
A dataset of gamers on Twitter
This gaming-related dataset consists of 8932 users (labeled as gamers) engaging in game-related conversations. We have collected (June 2018) their timeline (the most recent 3200... -
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CSV
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CSV
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Ego Networks of Words in Twitter
This set of dataframes were used in our last paper : Ollivier K, Boldrini C, Passarella A, Conti M (2022) Structural invariants and semantic fingerprints in the “ego network”... -
Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media
The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human...
