From networks to optimal higher-order models of complex systems

R Lambiotte, M Rosvall, I Scholtes - Nature physics, 2019 - nature.com
From networks to optimal higher-order models of complex systems | Nature Physics Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective

XN Zuo, XX **ng - Neuroscience & biobehavioral reviews, 2014 - Elsevier
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human …

A map of abstract relational knowledge in the human hippocampal–entorhinal cortex

MM Garvert, RJ Dolan, TEJ Behrens - elife, 2017 - elifesciences.org
The hippocampal–entorhinal system encodes a map of space that guides spatial navigation.
Goal-directed behaviour outside of spatial navigation similarly requires a representation of …

PageRank beyond the web

DF Gleich - siam REVIEW, 2015 - SIAM
Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …

Information cascades in complex networks

M Jalili, M Perc - Journal of Complex Networks, 2017 - academic.oup.com
Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

Network centrality in the human functional connectome

XN Zuo, R Ehmke, M Mennes, D Imperati… - Cerebral …, 2012 - academic.oup.com
The network architecture of functional connectivity within the human brain connectome is
poorly understood at the voxel level. Here, using resting state functional magnetic …

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease

A Khazaee, A Ebrahimzadeh… - Brain imaging and …, 2016 - Springer
The study of brain networks by resting-state functional magnetic resonance imaging (rs-
fMRI) is a promising method for identifying patients with dementia from healthy controls …

Heat kernel based community detection

K Kloster, DF Gleich - Proceedings of the 20th ACM SIGKDD …, 2014 - dl.acm.org
The heat kernel is a type of graph diffusion that, like the much-used personalized PageRank
diffusion, is useful in identifying a community nearby a starting seed node. We present the …

[KNIHA][B] Matrix methods in data mining and pattern recognition

L Eldén - 2019 - SIAM
Gram–Schmidt, 84 graph arc, 105 bipartite, 115, 181 centrality, 108 conductance, 112
connected, 108 degree vector, 107, 177 directed, 105, 151 Internet, 150 irreducible, 108 …

The physics of communicability in complex networks

E Estrada, N Hatano, M Benzi - Physics reports, 2012 - Elsevier
A fundamental problem in the study of complex networks is to provide quantitative measures
of correlation and information flow between different parts of a system. To this end, several …