activity
20032022
most citedCommunity Structure in Time-Dependent, Multiscale, and Multiplex Networks

2.2k citations · 7.7k across the 62 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

5 papers · 1 filter

q-bio.NC2021

Structural underpinnings of control in multiplex networks

Pragya Srivastava, Peter J. Mucha, Emily Falk +2

To design control strategies that predictably manipulate a system's behavior, it is first necessary to understand how the system's structure relates to its response. Many complex s…

q-bio.NC2013★ 105 cited

Resolving structural variability in network models and the brain

Florian Klimm, Danielle S. Bassett, Jean M. Carlson +1

Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architec…

q-bio.NC2012★ 84 cited

Task-Based Core-Periphery Organisation of Human Brain Dynamics

Danielle S. Bassett, Nicholas F. Wymbs, M. Puck Rombach +3

As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated…

q-bio.NC2012★ 73 cited

Dynamic Network Centrality Summarizes Learning in the Human Brain

Alexander V. Mantzaris, Danielle S. Bassett, Nicholas F. Wymbs +5

We study functional activity in the human brain using functional Magnetic Resonance Imaging and recently developed tools from network science. The data arise from the performance o…

q-bio.NC2010★ 1.9k cited

Dynamic reconfiguration of human brain networks during learning

Danielle S. Bassett, Nicholas F. Wymbs, Mason A. Porter +3

Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior…