Mauro Martino

TL;DR: This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions, and shows how to partition the area into smaller, non-overlapping regions while minimizing the disruption to each person's links.

TL;DR: A network of cultural centers connected via the birth and death of more than 150,000 notable individuals revealed human mobility patterns and cultural attraction dynamics and provides a macroscopic perspective of cultural history that helps retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools.

TL;DR: In this article, the authors analyzed data concerning 6.1 million trades of 4.7 million NFTs between June 23, 2017 and April 27, 2021, obtained primarily from Ethereum and WAX blockchains.

TL;DR: It is found that despite short-term fluctuations, partisanship or non-cooperation in the U.S. Congress has been increasing exponentially for over 60 years with no sign of abating or reversing, yet, a group of representatives continue to cooperate across party lines despite growing partisanship.

TL;DR: In this paper, a large-scale empirical analysis of 28.5 million trades made by 81.3 thousand traders of an online financial trading community over 28 months was conducted to explore the large scale empirical aspect of prospect theory.