In this project, we combine urban mobility data with economic complexity ideas to show that amenity complexity, central location and socio-economic mixing are interrelated in context of Budapest, Hungary. About Cities host diverse people and their mixing is the engine of prosperity. In turn, segregation and inequalities are common features of most cities and locations…

We present a minimalist agent-based model to efficiently simulate the Ethereum Proof-of-Stake (PoS) consensus protocol. The model depends on information diffusion: the main parameters are block and attestation latency as well as the underlying peer-to-peer topology. In addition to the model  description, we define measures to asses the quality of consensus, providing tools to observe…

Normative theories and statistical inference provide complementary approaches for the study of biological systems. A normative theory postulates that organisms have adapted to efficiently solve essential tasks and proceeds to mathematically work out testable consequences of such optimality; parameters that maximize the hypothesized organismal function can be derived ab initio, without reference to experimental data.…

This paper investigates how automated accounts and human users framed the pandemic in Iran. While there is a growing body of literature on bot activism, our knowledge of how bots intervene in humans' organic discursive practices in authoritarian regimes, particularly during the pandemic, is niche. We based this study on networked framing theory and used…

The dynamics of firms can be understood by studying the properties of their growth rates. Although there has been a significant amount of work in trying to clarify the statistical properties of the growth-rate distribution, mimicking in many ways the tradition of studying the statistical properties of financial returns, a clear picture of their inter-temporal…