This HTML5 document contains 52 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n20http://localhost/temp/predkladatel/
n17http://linked.opendata.cz/resource/domain/vavai/projekt/
n6http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n19http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n5http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
n12http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11320%2F14%3A10293636%21RIV15-MSM-11320___/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n10http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10293636%21RIV15-MSM-11320___
rdf:type
skos:Concept n19:Vysledek
rdfs:seeAlso
http://www.nonlin-processes-geophys.net/21/451/2014/npg-21-451-2014.pdf
dcterms:description
Complicated systems composed of many interact- ing subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is rep- resented by an undirected graph composed of nodes stand- ing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality de- scription of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity. Complicated systems composed of many interact- ing subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is rep- resented by an undirected graph composed of nodes stand- ing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Niño episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Niño and La Niña episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensionality de- scription of the climate system using network nodes given by rotated principal component analysis. The time evolution of structures in local intra-component networks is studied and compared to evolving inter-component connectivity.
dcterms:title
Regional and inter-regional effects in evolving climate networks Regional and inter-regional effects in evolving climate networks
skos:prefLabel
Regional and inter-regional effects in evolving climate networks Regional and inter-regional effects in evolving climate networks
skos:notation
RIV/00216208:11320/14:10293636!RIV15-MSM-11320___
n3:aktivita
n13:S n13:P n13:I
n3:aktivity
I, P(GCP103/11/J068), S
n3:cisloPeriodika
21
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n6:4313453
n3:druhVysledku
n16:J
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
41810
n3:idVysledku
RIV/00216208:11320/14:10293636
n3:jazykVysledku
n18:eng
n3:klicovaSlova
networks; climate; evolving; effects; inter-regional; Regional
n3:klicoveSlovo
n4:inter-regional n4:climate n4:evolving n4:Regional n4:effects n4:networks
n3:kodStatuVydavatele
DE - Spolková republika Německo
n3:kontrolniKodProRIV
[437082D30355]
n3:nazevZdroje
Nonlinear Processes in Geophysics
n3:obor
n9:DG
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
8
n3:projekt
n17:GCP103%2F11%2FJ068
n3:rokUplatneniVysledku
n10:2014
n3:svazekPeriodika
2014
n3:tvurceVysledku
Paluš, Milan Kurths, J. Hlinka, J. Hartman, D. Vejmelka, M. Donner, R. Marwan, N. Jajcay, Nikola
n3:wos
000335376200010
s:issn
1023-5809
s:numberOfPages
12
n5:doi
10.5194/npg-21-451-2014
n20:organizacniJednotka
11320