Results 231 to 240 of about 1,208,308 (285)

Machine learning approach to topological graph descriptors of graphene nanoribbons. [PDF]

open access: yesFront Chem
Jyothish K   +5 more
europepmc   +1 more source

Network meta‐analysis, electrical networks and graph theory

Research Synthesis Methods, 2012
Network meta‐analysis is an active field of research in clinical biostatistics. It aims to combine information from all randomized comparisons among a set of treatments for a given medical condition. We show how graph‐theoretical methods can be applied to network meta‐analysis.
Gerta Rücker
openaire   +4 more sources

Structural Analysis of Nanoscale Network Materials Using Graph Theory

ACS Nano, 2021
Many materials with remarkable properties are structured as percolating nanoscale networks (PNNs). The design of this rapidly expanding family of composites and nanoporous materials requires a unifying approach for their structural description. However, their complex aperiodic architectures are difficult to describe using traditional methods that are ...
Drew A. Vecchio   +3 more
openaire   +4 more sources

Graph theory and Q-analysis

Environment and Planning B: Planning and Design, 1981
Structures of graph theory are compared with those of Q-analysis and there are many similarities. The graph and simplicial complex defined by a relation are equivalent in terms of the information they represent, so that the choice between graph theory and Q-analysis depends on which gives the most natural and complete description of a system.
C F Earl, J H Johnson
openaire   +1 more source

Social network analysis from graph theory

2023
Research in social network analysis, which draws on mathematical concepts from graph theory and theoretical frameworks from sociology, focuses on the role of structure in health outcomes. Relationship patterns among persons, communities, and organisations are what we mean when we talk about structure.
Gunamma Prasadarao, Dr. Manish KR Singh
openaire   +1 more source

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