The development in technology has led to the generation of huge amounts of data from
various sources, including biological data, social networking data, etc. Accordingly, social …

Billions of users interact intensively every day via Online Social Networks (OSNs) such as
Facebook, Twitter, or Google+. This makes OSNs an invaluable source of information, and …

Recent advances in social media have triggered a massive engagement of user population:
a large part of people's lives has shifted to social media platforms and real events are …

BACKGROUND The field of social network analysis (SNA) is the study of relationships, how
people and things are related to one another, and the study of the network characteristics of …

Detecting the evolutionary stages of social media events such as Twitter and Sina Weibo is
beneficial for enterprises and governments to take necessary actions before emergent …

Cascading processes, such as disease contagion, viral marketing, and information diffusion,
are a pervasive phenomenon in many types of networks. The problem of devising …

In this paper we will demonstrate the potential of processing and visualising the dynamics of
computer-mediated communities by means of Social Network Analysis. According to the fact …

A relevant fraction of human interactions occurs on online social networks. Freshness of
content seems to play an important role, with content popularity rapidly vanishing over time …

From many datasets gathered in online social networks, well defined community structures
have been observed. A large number of users participate in these networks and the size of …

We present a computational approach for estimating emotion contagion on social media
networks. Built on a foundation of psychology literature, our approach estimates the degree …