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Showing 1 to 8 of 8 for “"multilayer networks"”.

  1. Survivable paths in multilayer networks

    We consider the problem of protection in multilayer networks. In single-layer net- works, a pair of disjoint paths can be used to provide protection for a source-destination pair. However, this approach cannot be directly applied to layered networks where disjoint paths may not always exist. In …

    mit Repository record for Survivable paths in multilayer networks (opens in a new tab)

  2. Evolutionary Dynamics of Social Behaviours on Multilayer Networks

    … of cooperation and social behaviours on a multilayer social network. Following a Bio-inspired approach, the social network analysis methodologies, and exploiting the mathematical framework of Evolutionary Game Theory (EGT), the target is to unveil the hidden dynamics, observe non-trivial …

    catania Repository record for Evolutionary Dynamics of Social Behaviours on Multilayer Networks (opens in a new tab)

  3. Multilayer network methodologies for brain data analysis and modelling

    … integrate different features. To do so we used multilayer networks. For two groups of TBI patients (adults and paediatrics), time series data were collected from the observations of IntraCranial Pressure (ICP) and Heart Rate (HR). We first detected events of simultaneous increase of HR and ICP, …

    cambridge Repository record for Multilayer network methodologies for brain data analysis and modelling (opens in a new tab)

  4. Distributed parameter RC network analysis

    … and tapered distribute [sic] parameter RC networks are reviewed and correlated in this dissertation. Multilayer networks and simple three layer networks are considered. Analogies between two-wire transmission line theory and multilayer distributed network theory are developed, i.e., …

    must-thes Repository record for Distributed parameter RC network analysis (opens in a new tab)

  5. Learning NP-hard problems on networks using Geometric Deep Learning

    … from a wide range of domains can be modeled as networks, i.e., a set of nodes that represent the entities of the system and a set of links between nodes that represent relations among them. For instance, social networks can be used to describe how people interact with each other, computer …

    catania Repository record for Learning NP-hard problems on networks using Geometric Deep Learning (opens in a new tab)

  6. Rumor source identification, contagion processes, and dynamics of social network formation and evolution

    … affect information propagation in those networks, and what consequence that holds for inferences about such flows. We examine the problem of rumor source identification in line graphs. As the size of the infected region grows arbitrarily large, we show that unlike the single source case, …

    uiuc Repository record for Rumor source identification, contagion processes, and dynamics of social network formation and evolution (opens in a new tab)

  7. Künstliche neuronale Netze zur Beschreibung der hydrodynamischen Prozesse für den Hochwasserfall unter Berücksichtigung der Niederschlags-Abfluß-Prozesse im Zwischeneinzugsgebiet

    … Prognosen liefern. In dieser Arbeit werden mit Multilayer-Feedforward-Netzen und selbstorganisierenden Merkmalskarten zwei Netztypen als Vertreter überwacht und unüberwacht lernender neuronaler Netze auf ihre diesbezügliche Eignung untersucht und beurteilt. Desweiteren wurde die Methodik auf die …

    qucosa-diss

  8. Connectomics of extrasynaptic signalling: applications to the nervous system of Caenorhabditis elegans

    … first time that whole-animal volume transmission networks can be mapped from gene expression and ligand-receptor interaction data, and analysed as part of the connectome. Complete networks are presented for the monoamine systems of Caenorhabditis elegans, along with a representative sample of …

    cambridge Repository record for Connectomics of extrasynaptic signalling: applications to the nervous system of Caenorhabditis elegans (opens in a new tab)