Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

Recently, social phenomena have received a lot of attention not only from social scientists,
but also from physicists, mathematicians and computer scientists, in the emerging …

In this paper we investigate the effects of social power on the evolution of opinions in model
networks as well as in a number of real social networks. A continuous opinion formation …

Comparing model predictions with real data is crucial to improve and validate a model. For
opinion formation models, validation based on real data is uncommon and difficult to obtain …

In the social, behavioral, and economic sciences, it is important to predict which individual
opinions eventually dominate in a large population, whether there will be a consensus, and …

For many social dynamical systems with heterogenous communicating components there
exist non-rational agents, whose full profile (such as location and number) is not accessible …

The origin of this book is tightly linked with the EveryAware project that I had the honour to
coordinate from 2011 to 2014 (www. everyaware. eu). EveryAware was funded by the …

When the interactions of agents on a network are assumed to follow the Deffuant opinion
dynamics model, the outcomes are known to depend on the structure of the underlying …

The dynamical origin of opinion polarization in the real world is an interesting topic that
physical scientists may help to understand. To properly model the dynamics, the theory must …

Opinion leaders (OLs) are becoming increasingly relevant on social networking sites as their
visibility can help to shape their followers' attitudes toward a variety of issues. While earlier …