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 …

Mathematical and computational approaches are important tools for understanding
epidemic spread patterns and evaluating policies of disease control. In recent years …

Identifying influential nodes that lead to faster and wider spreading in complex networks is of
theoretical and practical significance. The degree centrality method is very simple but of little …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

Identifying influential nodes in very large-scale directed networks is a big challenge relevant
to disparate applications, such as accelerating information propagation, controlling rumors …

In complex networks, each node has some unique characteristics that define the importance
of the node based on the given application-specific context. These characteristics can be …

Social media can be a double-edged sword for society, either as a convenient channel
exchanging ideas or as an unexpected conduit circulating fake news through a large …

This book discusses the study and analysis of the physical aspects of social systems and
models, inspired by the analogy with familiar models of physical systems and possible …

Identifying the node spreading influence in networks is an important task to optimally use the
network structure and ensure the more efficient spreading in information. In this paper, by …

How to identify influential nodes in complex networks is an open issue. Several centrality
measures have been proposed to address this. But these studies concentrate only on only …