Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

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

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 …

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …

Spreading processes have been largely studied in the literature, both analytically and by
means of large-scale numerical simulations. These processes mainly include the …

Ranking the nodesʼ ability of spreading in networks is crucial for designing efficient
strategies to hinder spreading in the case of diseases or accelerate spreading in the case of …

How to identify the influential spreaders in social networks is crucial for
accelerating/hindering information diffusion, increasing product exposure, controlling …

The study of rumor spreading has become an important issue on complex social networks.
On the basis of prior studies, we propose a modified​ susceptible–exposed–infected …

Identifying influential spreaders is crucial for understanding and controlling spreading
processes on social networks. Via assigning degree-dependent weights onto links …