activity
20182023
most citedIDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

111 citations · 262 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SI2023

Quantifying synergy and redundancy in multiplex networks

Andrea I. Luppi, Eckehard Olbrich, Conor Finn +4

Understanding how different networks relate to each other is key for obtaining a greater insight into complex systems. Here, we introduce an intuitive yet powerful framework to cha…

cs.CR2021★ 26 cited

SherLOCKED: A Detective-themed Serious Game for Cyber Security Education

Alice Jaffray, Conor Finn, Jason R. C. Nurse

Gamification and Serious Games are progressively being used over a host of fields, particularly to support education. Such games provide a new way to engage students with content a…

cs.IT2019★ 28 cited

Generalised Measures of Multivariate Information Content

Conor Finn, Joseph T. Lizier

The entropy of a pair of random variables is commonly depicted using a Venn diagram. This representation is potentially misleading, however, since the multivariate mutual informati…

cs.IT2018★ 111 cited

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

Patricia Wollstadt, Joseph T. Lizier, Raul Vicente +5

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using…

physics.ed-ph2018★ 1 cited

An interview based study of pioneering experiences in teaching and learning Complex Systems in Higher Education

Joseph T. Lizier, Michael S. Harré, Melanie Mitchell +5

Due to the interdisciplinary nature of complex systems as a field, students studying complex systems at University level have diverse disciplinary backgrounds. This brings challeng…

cs.IT2018★ 14 cited

Probability Mass Exclusions and the Directed Components of Pointwise Mutual Information

Conor Finn, Joseph T Lizier

This paper examines how an event from one random variable provides pointwise mutual information about an event from another variable via probability mass exclusions. We start by in…

cs.IT2018★ 82 cited

Pointwise Partial Information Decomposition using the Specificity and Ambiguity Lattices

Conor Finn, Joseph T Lizier

What are the distinct ways in which a set of predictor variables can provide information about a target variable? When does a variable provide unique information, when do variables…