The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

With the impressive growth of available data and the flexibility of network modelling, the
problem of devising effective quantitative methods for the comparison of networks arises …

The problem of influence maximization has grown in popularity and interest in recent
decades due to its valuable application in various fields. This problem mainly focuses on …

With the emergence of artificial intelligence (AI), the technological revolution has
transformed human lives and processes, empowering the products and services in today's …

The research on core-periphery structure of global trade from a complex-network
perspective has shown that the world system is hierarchically organized into blocks and that …

This study proposes a new method of incorporating emotions from newspaper articles into
macroeconomic forecasts, attempting to forecast industrial production and consumer prices …

International trade is based on a set of complex relationships between different countries
that can be modelled as an extremely dense network of interconnected agents. On the one …

The paper analyses the changes that occurred over 25 years in the geography of trade in
automotive parts and components. Using the Infomap multilayer clustering algorithm, we …

The COVID-19 pandemic has thrown the world's economy and trade into disarray, putting
international reliance in the limelight. This sparked debate on the durability and resilience of …

In recent years, the global trade landscape has undergone significant changes, particularly
in the aftermath of the 2008 financial crisis and more recently as a consequence of Covid-19 …