We test the hypothesis that the extent to which one obtains information on a given topic
through Wikipedia depends on the language in which it is consulted. Controlling the size …

How can we spot dense blocks in a large streaming graph efficiently? Anomalies such as
fraudulent attacks, spamming, and DDoS attacks, can create dense blocks in a short time …

This paper presents an exploratory study on the reaction of the Iraqi university ecosystem to
the Covid-19 pandemic, a learning ecosystem with no consolidated tradition in distance …

Understanding and characterizing the reconnaissance behaviors of cyber attackers is an
important problem that has yet to be tackled. As a first step towards tackling this problem, in …

This study addresses the issue of balancing graph summarization and graph change
detection. Graph summarization compresses large-scale graphs into a smaller scale …

The ability to detect fraudulent activities such as denial-of-service attacks (DoS), social
media impersonations, or fake recommendations in e-commerce networks is a difficult task …

Hypernetwork is a useful way to depict multiple connections between nodes, making it an
ideal tool for representing complex relationships in network science. In recent years, there …

The detection of network changes over time is based on identifying deviations of the network
structure. The challenge mainly lies in designing a good summary or descriptor of the …

Dynamic networks are widely used in the social, physical, and biological sciences as a
concise mathematical representation of the evolving interactions in dynamic complex …

How can we design a product or movie that will attract, for example, the interest of
Pennsylvania adolescents or liberal newspaper critics? What should be the genre of that …