There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

As fake news spreads rapidly in social media, attempts to develop detection technology to
automatically identify fake news are actively being developed, recently. However, most of …

In social networking sites, it is useful to receive recommendations about whom to contact or
follow. These recommendations not only allow to establish connections with people one …

Reciprocal recommender systems, which recommend users to each other, have gained
significant importance in various Internet services for connecting people in a personalized …

Recommender systems are personalisation tools that predict a user's preference for an item.
They are used on services where users have to choose between a large number of options …

Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and
has a real influence on the society because of the ubiquity of the internet and social media …

Recommender system aims to predict the user preference for a given item. These systems
have been widely used to recommend movies, music, news, books, products and even …

This thesis investigates the problem of community discovery. We define and propose
solutions for three sub-problems. First sub-problem is discovering temporal interaction …

In social network celebrities are always followed by millions even billions of users, among
whom some users are regarded as fanatic fans in the sense that they spare no efforts to …