Using NLP transformer models to evaluate the relationship between ethical principles in finance and machine learning

Accepted manuscrip

Post-COVID-19 depression prediction using Twitter data

Accepted manuscrip

Analysis of cryptocurrency dependencies

In a world where no country, market, or economy is an island, interconnectivity is becoming a fundamental feature of almost all social and economic systems. In the case of digital assets like cryptocurrencies, the impact of interconnectivity on their performance and price trajectory is amplified. Studying these phenomena is essential for understanding the processes driving the crypto-markets. In this paper, we propose seven different approaches to create a network of eighteen most important cryptocurrencies. The first three approaches discover correlations between cryptocurrencies based on their daily prices, daily returns, and sentiment extracted from Reddit data. The following two approaches offer insights from the frequency of joint appearance of cryptocurrencies in Google news and Reddit data. The remaining two approaches determine each cryptocurrency’s impact over the others when forecasting prices and returns. Furthermore, we explore the networks’ interdependencies to explore the similarities of the cryptocurrency networks generated by different approaches. The proposed methodology allows us to understand the dynamics in the cryptocurrency markets and the different processes that influence their performance.Published versio

Bounding the router table size in an ISP network using RINA

Abstract-One of the biggest problems of todays Internet is the explosion of the size of the routing tables of Internet core routers, especially due to the growth of multi-homed hosts and networks. This paper explains the benefits that the Recursive InterNetwork Architecture (RINA) brings to network service providers in terms of routing scalability: with an appropriate design the size of the router tables can be bounded. The recursive layer approach, the independence of the address space at each layer in conjunction with the use of hierarchical addressing prove to be effective tools that greatly reduce the storage requirements of routers as well as speed up the calculation of routes, resulting in more efficient and scalable routing