Results 111 to 120 of about 276,499 (268)
Random graph ensembles with many short loops
ESAIM: Proceedings and Surveys, 2014 Networks observed in the real world often have many short loops. This violates the tree-like assumption that underpins the majority of random graph models and most of the methods used for their analysis.
Roberts ES, Coolen ACC
doaj +1 more source
The metamathematics of random graphs
Annals of Pure and Applied Logic, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Arthritis Care &Research, EarlyView.Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Practical Network Modeling via Tapered Exponential-family Random Graph Models. [PDF]
J Comput Graph Stat, 2023 Blackburn B, Handcock MS.
europepmc +1 more source
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Directed network Laplacians and random graph models. [PDF]
R Soc Open Sci, 2021 Gong X, Higham DJ, Zygalakis K.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Analysis of the global trade network using exponential random graph models. [PDF]
Appl Netw Sci, 2022 Setayesh A +2 more
europepmc +1 more source
Discrete Applied Mathematics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source