The goal of this thesis is to investigate real-time analysis methods on social media with a
focus on information diffusion. From a conceptual point of view, we are interested both in the …

The advent of social media has facilitated the study of information diffusion, user interaction
and user influence over social networks. The research on analyzing information spreading …

Many types of social media metadata come in forms of temporal networks, networks where
we have information about not only who is in contact with whom but also when contacts …

The advent of social media has facilitated the study of information diffusion, expressing
information spreading and influence among users on social graphs. In this demo paper, we …

With hundreds of millions of users worldwide, social networks provide incredible
opportunities for social connection, learning, political and social change, and individual …

Platforms such as Twitter have provided researchers with ample opportunities to analytically
study social phenomena. There are however, significant computational challenges due to …

Online social media represent a fundamental shift of how information is being produced,
transferred and consumed. User generated content in the form of blog posts, comments, and …

Analyzing and modeling the temporal diffusion of information on social media has mainly
been treated as a diffusion process on known graphs or proximity structures. The underlying …

This book draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the
research in generative methods for the analysis of social media data. It fills a void, as the …

Diffusion of items occurs in social networks due to spreading of items through word of mouth
and exogenous factors. These items may be news, products, videos, advertisements or …