A set of users' comments crawled and scraped from two main touristic websites (Booking.com and Tripadvisor.com) related to main touristic point of interests in Italy and, in...

Academic migration is the change of host institution by a researcher, typically aimed at achieving a stronger research profile. Scientific features such as the number of...

The Multi-aspect Integrated Migration Indicators (MIMI) dataset is a new dataset to be exploited in migration studies as a concrete example of this new approach. It includes...

This dataset is obtained from the 2012 WISE Challenge: built upon the logs of the popular Chinese micro-blog service WEIBO, its interactions represent mentions of users in...

This dataset contains 360° video footage from a bottom-up street-view survey in Pristina, Kosovo divided into major neighborhoods.

Online interactions between users via the wall feature in the New Orleans regional network.

Network built on top of US congress voting data and made available on the website GovTrack.us. Nodes identifies congressman and edges represent the semantic "have supported the...

This is a curated dataset, where the Original data are taken from European Banking Authority (EBA), who collects banks' data to perform stress-test systemic risk analysis....

The dataset consists of all the content from the .de top level domain as crawled by the Internet Archive.

LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join. We...

Datasets used and produced for and from the micro project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain

How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing...

Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list...

The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...

A recent trend in algorithm design consists of augmenting classic data structures with machine learning models, which are better suited to reveal and exploit patterns and trends...

Peacefulness is a principal dimension of well-being, and its measurement has lately drawn the attention of researchers and policy-makers. During the last years, novel digital...