Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

The global spread of epidemics, rumors, opinions, and innovations are complex, network-
driven dynamic processes. The combined multiscale nature and intrinsic heterogeneity of …

In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

Professor Barabási's talk described how the tools of network science can help understand
the Web's structure, development and weaknesses. The Web is an information network, in …

It has long been a significant but difficult problem to identify propagation sources based on
limited knowledge of network structures and the varying states of network nodes. In practice …

To improve the flow of quality information and combat fake news on social media, it is
essential to identify the origins and evolution patterns of false information. However …

The article explores the concept of infodemics during the COVID-19 pandemic, focusing on
the propagation of false or inaccurate information proliferating worldwide throughout the …