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 …

The Matthew effect describes the phenomenon that in societies, the rich tend to get richer
and the potent even more powerful. It is closely related to the concept of preferential …

Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

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 …

During the battle between fake news and truth in Twitter, users of each side take different
roles such as tweeting the original content or retweeting the published content, while some …

Several systems can be modeled as sets of interconnected networks or networks with
multiple types of connections, here generally called multilayer networks. Spreading …

We develop a theoretical framework for the study of epidemiclike social contagion in large
scale social systems. We consider the most general setting in which different communication …

Cascades are self-amplifying processes triggered by feedback mechanisms that may cause
a substantial part of a macroscopic system to change its phase in response to a relatively …

There is little doubt about whether social networks play a role in modern protests. This
agreement has triggered an entire research avenue, in which social structure and content …