The advent of digital medical data has brought an exponential increase in information
available for each patient, allowing for novel knowledge generation methods to emerge …

The continuous growth of scientific literature brings innovations and, at the same time, raises
new challenges. One of them is related to the fact that its analysis has become difficult due to …

The attractiveness of online games, social media, and mobile apps is frequently considered
a challenge for online learners. Procrastinatory behaviour is often associated with a relative …

We introduce simplicial persistence, a measure of time evolution of motifs in networks
obtained from correlation filtering. We observe long memory in the evolution of structures …

We introduce simplicial persistence, a measure of time evolution of network motifs in
subsequent temporal layers. We observe long memory in the evolution of structures from …

Motifs are believed to represent structural and dynamical properties in networks.
Nevertheless, small motifs are not always representative, while large motifs are hard to …

We study soft persistence (existence in subsequent temporal layers of motifs from the initial
layer) of motif structures in Triangulated Maximally Filtered Graphs (TMFG) generated from …

Extreme market events and systemic collapses cause most of the popular attention to
finance and financial markets. Extreme phenomena and the dynamics of con …

Nowadays there is a tremendous amount of unstructured data, often represented by texts,
which is created and stored in variety of forms in many domains such as patients' health …

Finding the building blocks of real-world networks contributes to the understanding of their
formation process and related dynamical processes, which is related to prediction and …