9 citations · 34 across the 5 of their papers we have counts for
5 papers
Detecting Hidden Layers from Spreading Dynamics on Complex Networks
Łukasz G. Gajewski, Jan Chołoniewski, Mateusz Wilinski
When dealing with spreading processes on networks it can be of the utmost importance to test the reliability of data and identify potential unobserved spreading paths. In this pape…
Modelling of temporal fluctuation scaling in online news network with independent cascade model
Jan Chołoniewski, Julian Sienkiewicz, Gregor Leban +1
We show that activity of online news outlets follows a temporal fluctuation scaling law and we recover this feature using an independent cascade model augmented with a varying hype…
Key courses of academic curriculum uncovered by data mining of students' grades
Łukasz Gajewski, Jan Chołoniewski, Janusz Hołyst
Learning is a complex cognitive process that depends not only on an individual capability of knowledge absorption but it can be also influenced by various group interactions and by…
Temporal Taylor's scaling of facial electromyography and electrodermal activity in the course of emotional stimulation
Jan Chołoniewski, Anna Chmiel, Julian Sienkiewicz +3
High frequency psychophysiological data create a challenge for quantitative modeling based on Big Data tools since they reflect the complexity of processes taking place in human bo…
The role of emotional variables in the classification and prediction of collective social dynamics
Jan Chołoniewski, Julian Sienkiewicz, Janusz A. Hołyst +1
We demonstrate the power of data mining techniques for the analysis of collective social dynamics within British Tweets during the Olympic Games 2012. The classification accuracy o…