Dynamical phenomena in complex networks: fundamentals and applications

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dc.contributor.authorYanchuk, Serhiy
dc.contributor.authorRoque, Antonio C.
dc.contributor.authorMacau, Elbert E. N.
dc.contributor.authorKurths, Jürgen
dc.date.accessioned2021-12-10T06:08:41Z
dc.date.available2021-12-10T06:08:41Z
dc.date.issued2021-09-29
dc.description.abstractThis special issue presents a series of 33 contributions in the area of dynamical networks and their applications. Part of the contributions is devoted to theoretical and methodological aspects of dynamical networks, such as collective dynamics of excitable systems, spreading processes, coarsening, synchronization, delayed interactions, and others. A particular focus is placed on applications to neuroscience and Earth science, especially functional climate networks. Among the highlights, various methods for dealing with noise and stochastic processes in neuroscience are presented. A method for constructing weighted networks with arbitrary topologies from a single dynamical node with delayed feedback is introduced. Also, a generalization of the concept of geodesic distances, a path-integral formulation of network-based measures is developed, which provides fundamental insights into the dynamics of disease transmission. The contributions from the Earth science application field substantiate predictive power of climate networks to study challenging Earth processes and phenomena.en
dc.description.sponsorshipDFG, 411803875, Dynamik gekoppelter Systeme mit Zeitverzögerungen und deren Anwendungenen
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2021en
dc.identifier.eissn1951-6401
dc.identifier.issn1951-6355
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/14023
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-12796
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc530 Physikde
dc.subject.othereditorialen
dc.subject.otherdynamical networksen
dc.subject.otherneuroscienceen
dc.subject.otherEarth scienceen
dc.subject.othermachine learningen
dc.titleDynamical phenomena in complex networks: fundamentals and applicationsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1140/epjs/s11734-021-00282-yen
dcterms.bibliographicCitation.issue14-15en
dcterms.bibliographicCitation.journaltitleThe European Physical Journal Special Topicsen
dcterms.bibliographicCitation.originalpublishernameSpringer Natureen
dcterms.bibliographicCitation.originalpublisherplaceLondonen
dcterms.bibliographicCitation.pageend2716en
dcterms.bibliographicCitation.pagestart2711en
dcterms.bibliographicCitation.volume230en
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematik::FG Numerische Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaften
tub.affiliation.groupFG Numerische Mathematik
tub.affiliation.instituteInst. Mathematik
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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