A Python library to explain machine learning models by hierarchically aggregating single explanations of its predictions. Explanations are provided as decision rules...

The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences.

Network Diffusion Library REST Service. This project offers a REST interface for the NDlib Python library.

Ukraine-related disinformation dataset from "Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation" (accepted at SocInfo...

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...

This is a benchmark dataset of annotated search-engine queries. Mentions of entities in search-engine queries are tagged with the entity they refer to. Wikipedia is used as...

Ndlib is a Network diffusion library that contains a set of models to simulate disease spreading and opinion dynamics.

Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...

ArchiveSpark is an Apache Spark framework for easy data access, processing, extraction as well as derivation for Web archives and archival collections. It has a simple and...

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...

The dataset contains regular crawls of the websites for German academic institutions.

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)...

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...

Implements a method of transfer learning for feature extraction including both convolutional and fully connected layers of a neural network.

This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification...

Embeddings were created through applying word2vec skipgram to a corpus of wikipedia non-stub articles from a December 2015 English dump with the following parameters: -cbow 0...

This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series.

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...

This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at...