11 citations · 16 across the 3 of their papers we have counts for
5 papers
The importance of the whole: topological data analysis for the network neuroscientist
Ann E. Sizemore, Jennifer Phillips-Cremins, Robert Ghrist +1
The application of network techniques to the analysis of neural data has greatly improved our ability to quantify and describe these rich interacting systems. Among many important…
Knowledge gaps in the early growth of semantic networks
Ann E. Sizemore, Elisabeth A. Karuza, Chad Giusti +1
Understanding the features of and mechanisms behind language learning can provide insights into the general process of knowledge acquisition. Recent methods from network science ap…
Dynamic Graph Metrics: Tutorial, Toolbox, and Tale
Ann E. Sizemore, Danielle S. Bassett
The central nervous system is composed of many individual units -- from cells to areas -- that are connected with one another in a complex pattern of functional interactions that s…
Cliques and Cavities in the Human Connectome
Ann Sizemore, Chad Giusti, Ari Kahn +2
Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and pe…
Classification of weighted networks through mesoscale homological features
Ann Sizemore, Chad Giusti, Danielle Bassett
As complex networks find applications in a growing range of disciplines, the diversity of naturally occurring and model networks being studied is exploding. The adoption of a well-…