Andrea Flori

TL;DR: A massive analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens is presented and evidence of a segregation effect is found, since mobility contraction is stronger in municipalities in which inequality is higher and for those where individuals have lower income per capita.

TL;DR: A minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak shows that social contacts between members of different age classes play a fundamental role and that interventions which target local behaviours and take into account the age structure of the population can provide a significant contribution to mitigate the epidemic spreading.

TL;DR: Estimating the impact on regional productive systems in Italy of the interplay between the epidemic and the mobility restriction measures put in place to contain the contagion and shedding lights on how recovery policies need to balance the inter play between mobility flows of disposable workers and the diffusion of contagion is shed.

TL;DR: This work analyses the evolution of the LN during its first year of existence to assess its impact over some of the core fundamentals of Bitcoin, such as: node centralization, resilience against attacks and disruptions, anonymity of users, autonomous coordination of its members.

TL;DR: In this paper, the authors investigated the nexus between climate-related variables, commodity price co-movements and financial stability by projecting the commodity price time series onto a multilayer network and using centrality measures computed on the network to detect the existence of common trends between the series and to characterize the role of different nodes during phases of market downturns and upturns.