Link prediction is an important issue in complex network analysis and mining. Given the
structure of a network, a link prediction algorithm obtains the probability that a link is …

One of the biggest news stories of 2012, the killing of Trayvon Martin, nearly disappeared
from public view, initially receiving only cursory local news coverage. But the story gained …

In recent years the increasing computer power and availability of social networking sites
such as Twitter, Facebook, Flickr etc. has emerged as an effective medium to express instant …

This paper proposes a multilayered methodology for analyzing distance learning students'
data to gain insight into the learning progress of the student subjects both in an individual …

Purpose The purpose of this work is to study how different stakeholders of a football club
engage with interactions online through Twitter. It analyses the football club's Twitter network …

Massive Open Online Courses (MOOCs) offer a new scalable paradigm for e-learning by
providing students with global exposure and opportunities for connecting and interacting …

In this paper, we investigate cyber-threats and the underlying infrastructures. More precisely,
we detect and analyze cyber-threat infrastructures for the purpose of unveiling key players …

In this study, we present a novel approach for predicting interventions for patients in the
intensive care unit using a multivariate time series graph convolutional neural network. Our …

The popularity of Android, not only in handsets but also in IoT devices, makes it a very
attractive target for malware threats, which are actually expanding at a significant rate. The …

The popularity of Android system, not only in the handset devices but also in IoT devices,
makes it a very attractive destination for malware. Indeed, malware is expanding at a similar …