Society is often polarized by controversial issues that split the population into groups with
opposing views. When such issues emerge on social media, we often observe the creation …

The diffusion of rumors is a major concern for web users. Limiting the spread of rumor on
social networks has become an important task. One approach is to identify nodes to start a …

Abstract Development and identification of the theoretical underpinnings of elder abuse
research and practice has lagged behind the empirical output. Without well-articulated …

Detecting large reshare cascades is an important problem in online social networks. There
are a variety of attempts to model this problem, from using time series analysis methods to …

Fueled by the increasing popularity of online social networks, social influence analysis has
attracted a great deal of research attention in the past decade. The diffusion process is often …

Ranking account influence constitutes an important challenge in social media analysis. Until
recently, influence ranking relied solely on the structural properties of the underlying social …

The blooming availability of traces for social, biological, and communication networks opens
up unprecedented opportunities in analyzing diffusion processes in networks. However, the …

Networks are prevalent in many high impact domains. Moreover, cross-domain interactions
are frequently observed in many applications, which naturally form the dependencies …

Given a network of nodes, minimizing the spread of a contagion using a limited budget is a
well-studied problem with applications in network security, viral marketing, social networks …

Modern networks are very large in size and also evolve with time. As their sizes grow, the
complexity of performing network analysis grows as well. Getting a smaller representation of …