activity
20162022
most citedNetwork Analysis of Particles and Grains

199 citations · 868 across the 12 of their papers we have counts for

collaborators

13 papers

q-bio.NC2022★ 2 cited

Controlling collective dynamical states of mesoscale brain networks with local perturbations

Lia Papadopoulos, Demian Battaglia, Dani S. Bassett

Oscillatory synchrony is hypothesized to support the flow of information between brain regions, with different phase-locked configurations enabling activation of different effectiv…

nlin.AO2020

Path-dependent Dynamics Induced by Rewiring Networks of Inertial Oscillators

William Qian, Lia Papadopoulos, Zhixin Lu +3

In networks of coupled oscillators, it is of interest to understand how interaction topology affects synchronization. Many studies have gained key insights into this question by st…

physics.bio-ph2020★ 180 cited

Broken detailed balance and entropy production in the human brain

Christopher W. Lynn, Eli J. Cornblath, Lia Papadopoulos +2

Living systems break detailed balance at small scales, consuming energy and producing entropy in the environment in order to perform molecular and cellular functions. However, it r…

q-bio.NC2020★ 64 cited

Relations between large scale brain connectivity and effects of regional stimulation depend on collective dynamical state

Lia Papadopoulos, Christopher W. Lynn, Demian Battaglia +1

At the macroscale, the brain operates as a network of interconnected neuronal populations, which display rhythmic dynamics that support interareal communication. Understanding how…

physics.soc-ph2019

Human information processing in complex networks

Christopher W. Lynn, Lia Papadopoulos, Ari E. Kahn +1

Humans communicate using systems of interconnected stimuli or concepts -- from language and music to literature and science -- yet it remains unclear how, if at all, the structure…

q-bio.NC2019★ 172 cited

Multiscale and multimodal network dynamics underpinning working memory

Andrew C. Murphy, Maxwell A. Bertolero, Lia Papadopoulos +2

Working memory (WM) allows information to be stored and manipulated over short time scales. Performance on WM tasks is thought to be supported by the frontoparietal system (FPS), t…

cond-mat.mes-hall2018★ 2 cited

Network architecture of energy landscapes in mesoscopic quantum systems

Abigail N. Poteshman, Evelyn Tang, Lia Papadopoulos +2

Mesoscopic quantum systems exhibit complex many-body quantum phenomena, where interactions between spins and charges give rise to collective modes and topological states. Even simp…

physics.soc-ph2018★ 17 cited

Surges of collective human activity emerge from simple pairwise correlations

Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee +1

Human populations exhibit complex behaviors---characterized by long-range correlations and surges in activity---across a range of social, political, and technological contexts. Yet…

cond-mat.soft2017★ 199 cited

Network Analysis of Particles and Grains

Lia Papadopoulos, Mason A. Porter, Karen E. Daniels +1

The arrangements of particles and forces in granular materials have a complex organization on multiple spatial scales that ranges from local structures to mesoscale and system-wide…

nlin.AO2017★ 57 cited

Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators

Lia Papadopoulos, Jason Kim, Jurgen Kurths +1

Synchronization of non-identical oscillators coupled through complex networks is an important example of collective behavior. It is interesting to ask how the structural organizati…

q-bio.QM2016★ 3 cited

Embedding of biological distribution networks with differing environmental constraints

Lia Papadopoulos, Pablo Blinder, Henrik Ronellenfitsch +4

Distribution networks -- from vasculature to urban transportation systems -- are prevalent in both the natural and consumer worlds. These systems are intrinsically physical in comp…

cond-mat.soft2016★ 61 cited

Topological and geometric measurements of force chain structure

Chad Giusti, Lia Papadopoulos, Eli T. Owens +2

Developing quantitative methods for characterizing structural properties of force chains in densely packed granular media is an important step toward understanding or predicting la…

cond-mat.soft2016★ 111 cited

Evolution of network architecture in a granular material under compression

Lia Papadopoulos, James Puckett, Karen E. Daniels +1

As a granular material is compressed, the particles and forces within the system arrange to form complex heterogeneous structures. Force chains are a prime example and are thought…