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

As a fundamental problem in social influence propagation analysis, learning influence
parameters has been extensively investigated. Most of the existing methods are proposed to …

Discovering suspicious and illicit behavior in social networks is a significant problem in
social network analysis. The patterns of interactions of suspicious users are quite different …

Workflows are a widely used abstraction for describing large scientific applications and
running them on distributed systems. However, most workflow systems have been silent on …

Free and open source software strongly promotes the reuse of source code. Some open
source Java components/libraries are distributed as jar archives only containing the …

An explicit network structure plays an important role when analyzing and understanding
diffusion processes. In many scenarios, however, the interactions between nodes in an …

In social networks, information and influence diffuse among users as cascades. While the
importance of studying cascades has been recognized in various applications, it is difficult to …

In recent years, social networks have surged in popularity. One key aspect of social network
research is identifying important missing information that is not explicitly represented in the …

Online media play an important role in information societies by providing a convenient
infrastructure for different processes. Information diffusion that is a fundamental process …

The fast growth of social networks and their privacy requirements in recent years, has lead to
increasing difficulty in obtaining complete topology of these networks. However, diffusion …