Abstract Information networks are becoming increasingly popular to capture complex
relationships across various disciplines, such as social networks, citation networks, and …

The large number of different analytical choices researchers use may be partly responsible
for the replication challenge in neuroimaging studies. For robustness analysis, knowledge of …

Efficient node representation for weighted networks is an important problem for many
domains in real-world network analysis. Network exploration usually comes down to …

Abstract This study uses Eye Tracking technology to analyze students' visual interactions
with English learning films. The goal is to actively engage pupils and develop practical skills …

The technique of measuring similarity between topological spaces using Wasserstein
distance between persistence diagrams is extended to graph networks in this paper. A …

Cognitive science is one of the fastest growing segments of modern interdisciplinary
research into the functions of consciousness and into mechanisms implementing these …

In the current study, we used topological data analysis of fMRI data for exploring
neurophysiological mechanisms underlying the execution of deceptive actions. We used the …

Когнитивная наука является одним из наиболее быстро растущих сегментов
современных междисциплинарных исследований, посвященных изучению функций …