Eric Knowlton Yanchenko
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Works (6)
Updated: April 10th, 2024 05:00
2024 article
A generalized hypothesis test for community structure in networks
Yanchenko, E., & Sengupta, S. (2024, March 11). NETWORK SCIENCE, Vol. 3.
author keywords: Assortative mixing; bootstrap; community detection; random graphs
www.cambridge.org (publisher PDF)
Sources: Web Of Science, NC State University Libraries
Added: April 8, 2024
2023 journal article
Core-periphery structure in networks: A statistical exposition
Statistics Surveys, 17(none), 42–74.
author keywords: Networks; core-periphery structure; meso-scale features
TL;DR:
The current research landscape is summarized by reviewing the metrics and models that have been used for quantitative studies on core-periphery structure, and various inferential problems in this context are explored, such as estimation, hypothesis testing, and Bayesian inference.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: May 30, 2023
2023 journal article
External Control Arms in Idiopathic Pulmonary Fibrosis Using Clinical Trial and Real-World Data Sources
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 208(5), 579–588.
author keywords: synthetic control arms; clinical trial design; BMS-986020; interstitial lung disease
TL;DR:
IPF ECs generated from historical RCT placebo arms result in comparable primary treatment effects to that of the original clinical trial, while ECs from real-world data sources, including registry or EHR data, do not.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: October 23, 2023
2023 journal article
Link prediction for ex ante influence maximization on temporal networks
APPLIED NETWORK SCIENCE, 8(1).
author keywords: Diffusion; Dynamic networks; Graph neural networks; Influence maximization; Link prediction
TL;DR:
These findings indicate that, for these eight networks under the SI model, the latent process which determines the most influential nodes may not have large temporal variation, and knowing the future status of the network is not necessary to obtain good results for ex ante IM.
(via Semantic Scholar)
Source: Web Of Science
Added: October 16, 2023
2023 article
Spatial regression modeling via the R2D2 framework
Yanchenko, E., Bondell, H. D., & Reich, B. J. (2023, October 27). ENVIRONMETRICS, Vol. 10.
author keywords: Bayesian inference; coefficient-of-determination; Gaussian process; generalized beta prime distribution; penalized regression
TL;DR:
The effect of marine policies on biodiversity is estimated and it is concluded that no‐take restrictions lead to a slight increase in biodiversity and that the majority of the variance in the linear predictor comes from the spatial effect.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023
2022 journal article
A divide-and-conquer algorithm for core-periphery identification in large networks
STAT, 11(1).
author keywords: large and complex data sets; networks; statistical computing
TL;DR:
This work proposes a divide‐and‐conquer algorithm to identify the core‐periphery structure in large networks and applies this approach to synthetic data to find the algorithm's detection limit and on a real‐world network with more than 35,000 nodes.
(via Semantic Scholar)
Source: Web Of Science
Added: October 17, 2022
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