Results 21 to 30 of about 1,841,497 (380)

Social Network Analysis: From Graph Theory to Applications with Python [PDF]

open access: greenarXiv.org, 2021
Social network analysis is the process of investigating social structures through the use of networks and graph theory. It combines a variety of techniques for analyzing the structure of social networks as well as theories that aim at explaining the ...
Dmitri Goldenberg
semanticscholar   +3 more sources

Graph theory in network analysis [PDF]

open access: yesSocial Networks, 1983
For many centuries ideas now embodied in graph theory have been implicit m lay discussions of networks. The explicit hnking of graph theory and network analysis began only in 1953 and has been rediscovered many times since. Analysts have taken from graph theory mainly concepts and termmology; Its theorems, though potentially valuable for the analysis ...
Barnes, J. A., Harary, Frank
openaire   +4 more sources

Acupuncture Modulates Disrupted Whole-Brain Network after Ischemic Stroke: Evidence Based on Graph Theory Analysis. [PDF]

open access: yesNeural Plast, 2020
Background Stroke can lead to disruption of the whole-brain network in patients. Acupuncture can modulate the functional network on a large-scale level in healthy individuals.
Han X   +13 more
europepmc   +2 more sources

Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy. [PDF]

open access: yesBrain Connect, 2020
Understanding how global brain networks are affected in epilepsy may elucidate the pathogenesis of seizures and its accompanying neurobehavioral comorbidities.
Mazrooyisebdani M   +7 more
europepmc   +2 more sources

EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis

open access: yesIEEE Access, 2020
This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures.
Fares Mohammed Al-Shargie   +3 more
doaj   +2 more sources

Graph theory analysis of DTI tractography in children with traumatic injury. [PDF]

open access: yesNeuroimage Clin, 2019
Objective To evaluate brai structural connectivity in children with traumatic injury (TI) following a motor vehicle accident using graph theory analysis of DTI tractography data. Methods DTI scans were acquired on a 3 T Philips scanner from children aged
Watson CG, DeMaster D, Ewing-Cobbs L.
europepmc   +2 more sources

Graph theory and the analysis of fracture networks [PDF]

open access: yesJournal of Structural Geology, 2019
Two-dimensional exposures of fracture networks can be represented as large planar graphs that comprise a series of branches (B) representing the fracture traces and nodes (N) representing their terminations and linkages.
D. Sanderson   +3 more
semanticscholar   +4 more sources

IGraph/M: graph theory and network analysis for Mathematica [PDF]

open access: yesJournal of Open Source Software, 2022
IGraph/M is an efficient general purpose graph theory and network analysis package for Mathematica. IGraph/M serves as the Wolfram Language interfaces to the igraph C library, and also provides several unique pieces of functionality not yet present in ...
Szabolcs Horv'at   +6 more
semanticscholar   +3 more sources

Convergent and Divergent Structural Connectivity of Brain White Matter Network Between Patients With Erectile Dysfunction and Premature Ejaculation: A Graph Theory Analysis Study [PDF]

open access: yesFrontiers in Neurology, 2022
BackgroundSexual dysfunction, namely, erectile dysfunction (ED) and premature ejaculation (PE), has been found to be associated with abnormal structural connectivity in the brain.
Tielong Zhang   +4 more
doaj   +2 more sources

Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis. [PDF]

open access: yesSci Rep, 2017
The present study examined how different brain regions interact with each other during spontaneous honest vs. dishonest communication. More specifically, we took a complex network approach based on the graph-theory to analyze neural response data when ...
Ding XP, Wu SJ, Liu J, Fu G, Lee K.
europepmc   +2 more sources

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