Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Currently, with the increasing number of devices connected to the Internet, search for
network vulnerabilities to attackers has increased, and protection systems have become …

Online social networks provide relevant information on users' opinion about different
themes. Thus, applications, such as monitoring and recommendation systems (RS) can …

Organizations continue to incorporate social media analytics into their routines to improve
their performance outcomes. However, industrial marketing literature is lagging in that it has …

The mobile networks seem to have a steady future in the direction of the recent emergence
of socially aware cognitive mobile networks. Their style and design are specifically made in …

Network surveillance, ie, the detection of anomalous behaviour in communications in a
network, has become an important issue in recent years. In this field, techniques of statistical …

Large-scale geotagged social media data have been increasingly used for exploring human
movement patterns in cities. Challenges of this new data type, such as non-representative …

To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

A quality monitoring system for telecommunication services is relevant for network operators
because it can help to improve users' quality-of-experience (QoE). In this context, this article …