activity
20232025
most citedIntroduction to correlation networks: Interdisciplinary approaches beyond thresholding

25 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2025

Neural dynamics of cognitive control: Current tensions and future promise

Dale Zhou, Danielle Cosme, Yoona Kang +6

Cognitive control is a suite of processes that helps individuals pursue goals despite resistance or uncertainty about what to do. Although cognitive control has been extensively st…

cs.SI2025

Edge Correlations and Link Prediction in Growing Hypergraphs

Xie He, Philip S. Chodrow, Peter J. Mucha

We propose a generative model of temporally-evolving hypergraphs in which hyperedges form via noisy copying of previous hyperedges. Our proposed model reproduces several stylized f…

cs.SI2024

Targeting influence in a harmonic opinion model

Zachary M. Boyd, Nicolas Fraiman, Jeremy L. Marzuola +2

Influence propagation in social networks is a central problem in modern social network analysis, with important societal applications in politics and advertising. A large body of w…

math.DS2024★ 5 cited

Link Prediction Accuracy on Real-World Networks Under Non-Uniform Missing Edge Patterns

Xie He, Amir Ghasemian, Eun Lee +3

Real-world network datasets are typically obtained in ways that fail to capture all edges. The patterns of missing data are often non-uniform as they reflect biases and other short…

physics.soc-ph2023★ 25 cited

Introduction to correlation networks: Interdisciplinary approaches beyond thresholding

Naoki Masuda, Zachary M. Boyd, Diego Garlaschelli +1

Many empirical networks originate from correlational data, arising in domains as diverse as psychology, neuroscience, genomics, microbiology, finance, and climate science. Speciali…