Resources

Covid19 Infodemics ObservatoryA platform to analyze the relationship between the evolution of the COVID-19 epidemic and the information dynamics on social media

The Infodemic Observatory for COVID-19 is a work advised by the World Health Organization (WHO) to better understand the impact of an infodemic at global scale.

Based on artificial intelligence techniques, data science and network science, the Observatory provides in almost real time a unique lens on the current status of misinformation and disinformation diffusing in the popular microblogging platform Twitter.

The computational tool, publicly accessible, is the result of an interdisciplinary collaboration involving physicists, computer scientists, cultural economists, public health and communication experts from FBK and advised by WHO.

A video abstract created by Research Square for the manuscript titled "Complex Urban Systems: Challenges and Integrated Solutions for the Sustainability and Resilience of Cities", selected as the winner of the Article of the Year Award 2021 by the journal Complexity.

The multilayer temporal network of public transport in Great Britain - Scientific DataDesign Type(s) observation design • data integration objective Measurement Type(s) public transport data Technology Type(s) data transformation Factor Type(s) Sample Characteristic(s) United Kingdom • anthropogenic habitat Machine-accessible metadata file describing the reported data (ISA-Tab format)

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A large scale public-domain dataset (CC0 1.0) available on Dryad Data, where we integrate timetable data obtained from the United Kingdom open-data program together with timetables of domestic flights, and obtain a comprehensive snapshot of the temporal characteristics of the whole British public transport system for a week in October 2010. The resulting weighted, directed, temporal and multilayer network is provided in simple, commonly used formats, ensuring easy access and the possibility of a straightforward use of old or specifically developed methods.