activity
20122024
most citedJIDT: An information-theoretic toolkit for studying the dynamics of complex systems

416 citations · 543 across the 5 of their papers we have counts for

collaborators

5 papers

physics.data-an20243 cited

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series

Aria Nguyen, Oscar McMullin, Joseph T. Lizier +1

Quantifying relationships between components of a complex system is critical to understanding the rich network of interactions that characterize the behavior of the system. Traditi…

physics.soc-ph2023

On the information-theoretic formulation of network participation

Pavle Cajic, Dominic Agius, Oliver M. Cliff +3

The participation coefficient is a widely used metric of the diversity of a node's connections with respect to a modular partition of a network. An information-theoretic formulatio…

cs.IT2014416 cited

JIDT: An information-theoretic toolkit for studying the dynamics of complex systems

Joseph T. Lizier

Complex systems are increasingly being viewed as distributed information processing systems, particularly in the domains of computational neuroscience, bioinformatics and Artificia…

cs.NE201410 cited

Information Transfer in Swarms with Leaders

Yu Sun, Louis F. Rossi, Chien-Chung Shen +5

Swarm dynamics is the study of collections of agents that interact with one another without central control. In natural systems, insects, birds, fish and other large mammals functi…

physics.bio-ph2012114 cited

Identifying influential spreaders and efficiently estimating infection numbers in epidemic models: a walk counting approach

Frank Bauer, Joseph T. Lizier

We introduce a new method to efficiently approximate the number of infections resulting from a given initially-infected node in a network of susceptible individuals. Our approach i…