Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"multilayer network"”.
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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, …
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Multilayer network modeling of change propagation for engineering change management
… manage change propagation have largely drawn on network analysis. This thesis builds upon past research by introducing a multilayer network model that incorporates three proposed layers, or domains, that contribute to change propagation: namely, the product layer, change layer, and social layer. …
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A multilayer network approach to quantifying biologically-derived systematic risk in biomedical finance
… seeks to explore the opportunity to leverage multilayer network models as tools to help measure this risk, specifically the biologically-derived component of risk resulting from project correlations generated through the underlying biological networks. Historical examples of coupling between …
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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 …
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Energy efficient core optical IP networks
… greener and more energy efficient environments. Network infrastructures are required which support these growing needs but at the same time remain zero-carbon emission complaint. Green photonic network designs centre on techniques to reduce and conserve energy within multilayer network scenarios. …
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Machine learning methods for detecting structure in metabolic flow networks
Metabolic flow networks are large scale, mechanistic biological models with good predictive power. However, even when they provide good predictions, interpreting the meaning of their structure can be very difficult, especially for large networks which model entire organisms. This is an …
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Network-based approaches for multi-omic data integration
… integration using machine learning methods and network theory. We assume that a biological system can be represented by a network with nodes denoting molecules and edges indicating functional links between molecules, in which multi-omic data can be integrated as attributes of nodes and edges. We …
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Essays on ESG Dynamics in Financial Markets
… chapter, I explore how E&S concerns spread in a multilayer network of firms based on an epidemiological model. The paper builds the network using four layers: geographic proximity, common ownership, director interlock, and industrial peers. Based on E&S shareholder proposals targeting S&P 500 …
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Dynamics on networks
… underlying graph can be represented by a single network. We first consider the Kuramoto model, a canonical model of coupled phase oscillators. We obtain two results on its partial phase-locked state, where a subset of oscillators remain close in phase while others drift away. Firstly, we derive …
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A FRAMEWORK FOR NETWORK EVOLUTION
… il 2026, sfruttare questi dati è cruciale. La network science offre strumenti per analizzare sistemi complessi modellando nodi e archi. Ha applicazioni in diversi ambiti: nelle scienze sociali analizza social media, polarizzazione e migrazioni; in finanza studia stabilità dei mercati e frodi; …
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ASSESSING ENDOCRINE ACTIVE SUBSTANCES¿ IMPACT ON THE IMMUNE SYSTEM THROUGH IN VITRO STUDIES
Le sostanze attive a livello endocrino (EAS) sono sostanze in grado in interagire con il sistema endocrino e in caso questa interazione induca effetti avversi, essi vengono identificati come interferenti endocrini (IE). Si trovano principalmente nell'ambiente, negli alimenti, nei cosmetici, nei …
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Dimension reduction methods for quantifying local variable importance and the statistical analysis of network data
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01