2.2k citations · 7.7k across the 62 of their papers we have counts for
5 papers · 1 filter
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…
Percolation-induced exponential scaling in the large current tails of random resistor networks
Feng Shi, Simi Wang, Peter J. Mucha +1
There is a renewed surge in percolation-induced transport properties of diverse nano-particle composites (cf. RSC Nanoscience & Nanotechnology Series, Paul O'Brien Editor-in-Chief)…
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…
Dynamics on Modular Networks with Heterogeneous Correlations
Sergey Melnik, Mason A. Porter, Peter J. Mucha +1
We develop a new ensemble of modular random graphs in which degree-degree correlations can be different in each module and the inter-module connections are defined by the joint deg…
Robust Detection of Dynamic Community Structure in Networks
Danielle S. Bassett, Mason A. Porter, Nicholas F. Wymbs +3
We describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for…