Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …

Understanding how users behave when they connect to social networking sites creates
opportunities for better interface design, richer studies of social interactions, and improved …

While graph drawing focuses more on the aesthetic representation of node-link diagrams,
graph visualization takes into account other visual metaphors making them useful for graph …

Online Social Networks (OSNs) have already attracted more than half a billion users.
However, our understanding of which OSN features attract and keep the attention of these …

Popular online social networks (OSNs) like Facebook and Twitter are changing the way
users communicate and interact with the Internet. A deep understanding of user interactions …

Social networks are popular platforms for interaction, communication, and collaboration
between friends. Researchers have recently proposed an emerging class of applications …

Breadth First Search (BFS) is a widely used approach for sampling large graphs. However, it
has been empirically observed that BFS sampling is biased toward high-degree nodes …

Understanding how users navigate and interact when they connect to social networking
sites creates opportunities for better interface design, richer studies of social interactions …

Online Social Networks (OSN) are fun, popular, and socially significant. An integral part of
their success is the immense size of their global user base. To provide a consistent service …

Predicting popular content is a challenging problem for social media websites in order to
encourage user interactions and activity. Existing works in this area, including the …