Results 251 to 260 of about 43,402 (304)

Structural-functional multilayer brain network properties and outcome of combined repetitive transcranial magnetic stimulation and psychotherapy for obsessive-compulsive disorder. [PDF]

Neuroimage Clin
Fitzsimmons SMDD, Coomans C, Breedt L, Batelaan NM, van der Werf YD, van den Heuvel OA, Douw L, Vriend C.   +7 more
europepmc   +1 more source

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns. [PDF]

Elife
Kamei KF, Kobayashi-Kirschvink KJ, Nozoe T, Nakaoka H, Umetani M, Wakamoto Y.   +5 more
europepmc   +1 more source

Bilingualism in Context: A Bayesian Psychometric Network Analysis of Language and Culture Among U.S. Heritage Spanish-English Speakers of Latin American Descent. [PDF]

Behav Sci (Basel)
Rayo W, Carbajal I.
europepmc   +1 more source

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Laplacian centrality: A new centrality measure for weighted networks

Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xingqin Qi, Edgar Fuller, Qin Wu
exaly   +2 more sources

Centralization Measures for Social Networks

Cybernetics and Systems, 2021
Recently online social networks have grown enormously to become an essential marketing tool for many companies.
Rafal Palak, Van Sinh Nguyen
openaire   +1 more source

Reliability of measures of centrality and prominence

Social Networks, 2005
Abstract This paper evaluates the reliability of measures of centrality and prominence of social networks among high school students. The authors present and discuss results from eight experiments. Four types of social support: (1) instrumental support, (2) informational support, (3) social companionship, and (4) emotional support—were measured three
Barbara Zemljic, Valentina Hlebec
openaire   +1 more source

Subgroup centrality measures

Network Science, 2014
AbstractIn this paper we examine natural generalizations of four widely used centrality measures to subgroups of nodes in a network. This allows for a division into local and global influence. As an example, we analyze a classic network and discuss previously hidden features made visible by these new techniques. Network-wide measures and centralization
openaire   +1 more source