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 …

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 …

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 …

A wide class of binary-state dynamics on networks—including, for example, the voter model,
the Bass diffusion model, and threshold models—can be described in terms of transition …

The spreading dynamics of information and diseases are usually analyzed by using a
unified framework and analogous models. In this paper, we propose a model to emphasize …

A key ingredient in social contagion dynamics is reinforcement, as adopting a certain social
behavior requires verification of its credibility and legitimacy. Memory of nonredundant …

Some epidemic spreading models are usually applied to analyze the propagation of
opinions or news. However, the dynamics of epidemic spreading and information or …

We consider the network of citations of scientific papers and use a combination of the
theoretical and experimental tools to uncover microscopic details of this network growth …

The spread of social phenomena such as behaviors, ideas or products is an ubiquitous but
remarkably complex phenomenon. A successful avenue to study the spread of social …

The spread of opinions, memes, diseases, and “alternative facts” in a population depends
both on the details of the spreading process and on the structure of the social and …