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Articoli scientifici

The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Bernaschi, M., Celestini, A., Guarino, S. et al. The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks. Sci Rep 12, 18206 (2022). https://doi.org/10.1038/s41598-022-22798-6   Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some of its features or … Continue reading The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Recently, learning algorithms such as Convolutional Neural Networks have been successfully applied in different stages of data processing from the acquisition to the data analysis in the imaging context. The aim of these algorithms is the dimensionality of data reduction and the computational effort, to find benchmarks and extract features, to improve the resolution, and … Continue reading Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Integrated database for economic complexity

In this paper, researchers A. Patelli, L. Pietronero, and A. Zaccaria present an integrated database suitable for the investigation of the economic development of countries by using the Economic Fitness and Complexity framework.

Self-induced consensus of Reddit users to characterise the GameStop short squeeze

In mid-January 2021, an unprecedented event took place: users of an online Reddit community called r/wallstreetbets were able to play a primary role in orchestrating the short squeeze of GameStop shares. This event represents a paramount example of collective coordination action on social media, resulting in large-scale consensus formation and significant market impact. In this … Continue reading Self-induced consensus of Reddit users to characterise the GameStop short squeeze

Laplacian paths in complex networks: Information core emerges from entropic transitions

Complex networks usually exhibit a rich architecture organized over multiple intertwined scales. Information pathways are expected to pervade these scales reflecting structural insights that are not manifest from analyses of the network topology.

Regional technological capabilities and green opportunities in Europe

The fight against climate change is arguably at an unprecedented critical phase. Experts concur that while there are enough capital, technology, policy instruments, and scientific knowledge to cut carbon emissions significantly by 2030, inaction due to political inertia could trigger a calamitous domino effect for both the environment and society.

Quantifying the unexpected: A scientific approach to Black Swans

Nassim Taleb introduced Black Swans to describe events that are unexpected, unpredictable, and characterized by extreme consequences. Examples of such events are World War I and the 9/11 terrorist attacks. Since the work of Taleb, the media tend to abuse the term. During the Covid19 pandemic, many public institutions and journals referred to the virus … Continue reading Quantifying the unexpected: A scientific approach to Black Swans

Modeling innovation in the cryptocurrency ecosystem

Since the introduction of Bitcoin in 2009, cryptocurrencies have known an increasing growth in terms of different digital coins and their market capitalization. However, despite their profound impact on our society,  the mechanisms underlining their success are not yet fully understood. In this paper, researchers  Giordano De Marzo(1,2,3,4,), Vito DP Servedio(4), and Francesco Pandolfelli(2), tackle … Continue reading Modeling innovation in the cryptocurrency ecosystem

Bow-tie structures of twitter discursive communities

In che modo le persone discutono su Twitter? È possibile rintracciare delle costanti nel modo di interagire degli utenti? Possiamo capire come si diffondono le informazioni? In questo articolo, pubblicato su Nature, un gruppo di ricerca di CREF, CNR,  Scuola IMT Alti Studi Lucca, Università di Venezia e Universitat Rovira i Virgili di Terragona, ha … Continue reading Bow-tie structures of twitter discursive communities

Which will be your firm’s next technology?

How do innovation dynamics work? Is it possible to predict which kind of technological innovation will emerge in the medium-term future? Researchers at CREF Matteo Straccamore, Luciano Pietronero, and Andrea Zaccaria, tried to reconstruct the innovation dynamics of about two hundred thousand companies following their patenting activity for about ten years.