Robustness and resilience of complex networks

O Artime, M Grassia, M De Domenico… - Nature Reviews …, 2024 - nature.com
Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

[HTML][HTML] Nestedness in complex networks: observation, emergence, and implications

MS Mariani, ZM Ren, J Bascompte, CJ Tessone - Physics Reports, 2019 - Elsevier
The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

A survey of community detection methods in multilayer networks

X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …

Machine learning dismantling and early-warning signals of disintegration in complex systems

M Grassia, M De Domenico, G Mangioni - Nature communications, 2021 - nature.com
From physics to engineering, biology and social science, natural and artificial systems are
characterized by interconnected topologies whose features–eg, heterogeneous connectivity …

Risk society and science education: Lessons from the Covid-19 Pandemic

M Pietrocola, E Rodrigues, F Bercot, S Schnorr - Science & Education, 2021 - Springer
The current COVID-19 pandemic raises reflection on the new roles of science education in
citizen education in a world characterized by civilization risks, derived from the current …

Corruption and complexity: a scientific framework for the analysis of corruption networks

I Luna-Pla, JR Nicolás-Carlock - Applied Network Science, 2020 - Springer
Abstract According to United Nations, corruption is a systemic and adaptive phenomenon
that requires comprehensive and multidisciplinary approaches for its effective prevention …

Reconstructing commuters network using machine learning and urban indicators

G Spadon, AC Carvalho, JF Rodrigues-Jr, LGA Alves - Scientific reports, 2019 - nature.com
Human mobility has a significant impact on several layers of society, from infrastructural
planning and economics to the spread of diseases and crime. Representing the system as a …

Fragility of a multilayer network of intranational supply chains

M Gomez, S Garcia, S Rajtmajer, C Grady… - Applied network …, 2020 - Springer
Supply chains enable the flow of goods and services within economic systems. When
mapped for the entire economy and geographic locations of a country, supply chains form a …

Core-periphery structure in sectoral international trade networks: A new approach to an old theory

O Kostoska, S Mitikj, P Jovanovski, L Kocarev - PloS one, 2020 - journals.plos.org
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 …

Topological anomaly detection in dynamic multilayer blockchain networks

D Ofori-Boateng, IS Dominguez, C Akcora… - Machine Learning and …, 2021 - Springer
Motivated by the recent surge of criminal activities with cross-cryptocurrency trades, we
introduce a new topological perspective to structural anomaly detection in dynamic …