The dataset contains execution traces collected from the well-know open-source microservices system Train-ticket. The traces are generated over a variety of scenario,...

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...

How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis

The video tutorial discusses the case study of deepfakes to present how to perform Visual Media Analysis for Online Discourses. The tutorial includes: research questions;...

The video tutorial discusses using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned.

The video tutorial introduces the concept of the "metapicture" for the visual media analysis of online discourses and explains various analysis techniques: Visual Similarity,...

The video tutorial presents techniques for analysing meme collections with the computer vision network approach, including seven steps for network building and interpretation,...

The video tutorial discusses making meme collections, including the meme as a technical collection of objects, automated visual analysis, and meme collection distinctiveness.

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...

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”...

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...

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:...

This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...

This dataset contains Social and interaction graphs representing two large-scale Facebook regional networks. Social graphs describe Facebook friendships between users...

Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...

python library to unify soccer data and algorithms

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...