A voluminous and complex amount of information—'big data'—from social media such as
Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying …

Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

This book provides a solid, encompassing definition of Internet memes, exploring both the
common features of memes around the globe and their particular regional traits. It identifies …

Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …

As users interact via social media spaces, like Twitter, they form connections that emerge
into complex social network structures. These connections are indicators of content sharing …

Predicting the potential relations between nodes in networks, known as link prediction, has
long been a challenge in network science. However, most studies just focused on link …

This paper investigates disciplinary differences in how researchers use the microblogging
site Twitter. Tweets from selected researchers in ten disciplines (astrophysics, biochemistry …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Identification of Influential nodes in complex networks is challenging due to the largely
scaled data and network sizes, and frequently changing behaviors of the current topologies …