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 the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

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 …

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

The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages
diverse in origin and culture, we present evidence of a deep imprint of human sociality in …

Since the publication of “Complex Contagions and the Weakness of Long Ties” in 2007,
complex contagions have been studied across an enormous variety of social domains. In …

The global financial system can be represented as a large complex network in which banks,
hedge funds and other financial institutions are interconnected to each other through visible …

We study the diffusion of influence in random multiplex networks where links can be of r
different types, and, for a given content (eg, rumor, product, or political view), each link type …