Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Livan, Giacomo"'
In science, mentees often follow their mentors' career paths, but exceptional mentees frequently break from this routine, sometimes even outperforming their mentors. However, the pathways to independence for these excellent mentees and their interact
Externí odkaz:
http://arxiv.org/abs/2408.16992
A plethora of natural and socio-economic phenomena share a striking statistical regularity, that is the magnitude of elements decreases with a power law as a function of their position in a ranking of magnitude. Such regularity is commonly known as Z
Externí odkaz:
http://arxiv.org/abs/2407.15946
Autor:
Riazi, Diana, Livan, Giacomo
An abundance of literature has shown that the injection of noise into complex socio-economic systems can improve their resilience. This study aims to understand whether the same applies in the context of information diffusion in social networks. Spec
Externí odkaz:
http://arxiv.org/abs/2403.13630
Participants in socio-economic systems are often ranked based on their performance. Rankings conveniently reduce the complexity of such systems to ordered lists. Yet, it has been shown in many contexts that those who reach the top are not necessarily
Externí odkaz:
http://arxiv.org/abs/2401.15968
The Great Gatsby Curve measures the relationship between income inequality and intergenerational income persistence. By utilizing genealogical data of over 245,000 mentor-mentee pairs and their academic publications from 22 different disciplines, thi
Externí odkaz:
http://arxiv.org/abs/2310.08968
We examine the tension between academic impact - the volume of citations received by publications - and scientific disruption. Intuitively, one would expect disruptive scientific work to be rewarded by high volumes of citations and, symmetrically, im
Externí odkaz:
http://arxiv.org/abs/2309.08291
Autor:
Riazi, Diana, Livan, Giacomo
We develop a model of opinion dynamics where agents in a social network seek to learn a ground truth among a set of competing hypotheses. Agents in the network form private beliefs about such hypotheses by aggregating their neighbors' publicly stated
Externí odkaz:
http://arxiv.org/abs/2307.13286
How difficult is it for an early career academic to climb the ranks of their discipline? We tackle this question with a comprehensive bibliometric analysis of 57 disciplines, examining the publications of more than 5 million authors whose careers sta
Externí odkaz:
http://arxiv.org/abs/2303.15988
It is well known that the probability distribution of high-frequency financial returns is characterized by a leptokurtic, heavy-tailed shape. This behavior undermines the typical assumption of Gaussian log-returns behind the standard approach to risk
Externí odkaz:
http://arxiv.org/abs/2302.02769