Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

Managing trust in a distributed Mobile Ad Hoc Network (MANET) is challenging when
collaboration or cooperation is critical to achieving mission and system goals such as …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

This study is informed by two research gaps. One, Artificial Intelligence's (AI's) Machine
Learning (ML) techniques have the potential to help separate information and …

Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

The integration of social networking concepts into the Internet of things has led to the Social
Internet of Things (SIoT) paradigm, according to which objects are capable of establishing …

Recently, there has been tremendous interest in the phenomenon of influence propagation
in social networks. The studies in this area assume they have as input to their problems a …

Social network analysis has gained significant attention in recent years, largely due to the
success of online social networking and media-sharing sites, and the consequent …

The pervasive use of social media has generated unprecedented amounts of social data.
Social media provides easily an accessible platform for users to share information. Mining …