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 20 of 33 for “"Network Metrics"”.
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Data-driven modeling and analysis of the U.S. air transportation network and its resilience to extreme events
… and predicting delays of an air transportation network using publicly available data. The first part of this thesis details methods to quantify the resilience of the network. Traditionally, network metrics rely on removal of nodes heuristically to measure the resilience of the network. We …
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Combined Aerobic and Cognitive Training Effects on Complex Brain Networks in Older Adults
Network science has become a powerful tool with which we can model the human brain as a complex network. Since the start of application of network science to the brain, many advances have been made. Due to this development of new metrics and network formation algorithms, the current study aimed to …
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Interdisciplinary Studies of Complex Network and Machine Learning and Its Applications
… this dissertation, we introduce the concept of network-based statistical inference methods of two types: network structure inference and variable inference. For network structure inference, we introduce correlation matrix, graphical Lasso, network clustering and identify the influencer in the …
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Spacecraft-ns3: Spacecraft Discrete-Event Network Simulation
… collisions. Though there have been several space networking simulation tools created in recent years, they all lack rigorous astrodynamics models or use high-fidelity but bulky and computationally taxing commercial software. This research presents Spacecraft-ns3, an extension to the ns-3 network …
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Network analysis of Diagnostic Medical Device Development for Infectious Diseases Prevalent in South Africa
… were used to generate a collaboration network. Netdraw, a network visualisation tool, was used to visualize the network, and network metrics such as degree centrality, betweenness centrality and closeness centrality, as well as group density measures, were produced using UCINET …
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Effect of Levodopa on EEG Connectivity in Parkinson's Patients
… the functional connectivity of their brain networks. We used several metrics from graph theory, in particular the minimum spanning tree (MST) metric, and analyzed how they change after subjects take Levodopa. We observed significant changes in the lower alpha band toward a more path-like and …
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Harsh and variable ecological conditions modulate the relationship between social structure and direct fitness in a plurally breeding small mammal
… increased group size in some species. Social network analysis is a more powerful approach to examine this relationship, as the quality of interactions is more important than quantity. Using 9 years of data, I determined how mean and coefficient of variation (CV) of nine ecological variables …
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Collective intelligence at Enron during the California energy crisis : uncovering collaborative innovation networks using social network analysis
… applied Coolfarming (Gloor, 201 lb), a social network analysis method using Condor, a software tool to quantify communication patterns based on various data sources. I analyzed the Enron email archive to see if communication patterns of convicted employees differ from ordinary ones. Toward that …
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Food webs: Realizing biological inspiration for sustainable industrial resource networks
… the problem of how to design an industrial network to reduce cost, increase efficiency, and reduce environmental burdens. A recent approach is further developed that uses analogies with biological food webs to guide industry design. Studying ecological food webs shows that among the metrics …
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Predicting genetic interactions in Caenorhabditis elegans using machine learning
… significantly outperforms other established network metrics such as degree or betweenness. Next, we show how Bayesian sets can be applied to gain intuition as to which datasets are the most relevant for predicting genetic interactions. In order to directly apply this method to microarray …
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Stakeholder analysis in the context of the lean enterprise
… Lean Enterprises, Stakeholder Theory, and Social Networks. Elements from these three research areas have been articulated to produce a methodology that allows for the analysis of stakeholder systems. In order to successfully apply lean enterprise principles and practices the study of the way in …
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Spatial Ecology and Movement Patterns of Black Drum (Pogonias cromis) and Sheepshead (Archosargus probatocephalus) in Mississippi Sound
… patterns were analyzed using residency indices, network metrics, and environmental covariates, while Sheepshead maturity was inferred using size-based logistic regressions. Results indicated generally strong site fidelity, but with seasonal reductions in residency during known spawning months, …
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Design and Analysis of Anomaly Detection and Mitigation Schemes for Distributed Denial of Service Attacks in Software Defined Network. An Investigation into the Security Vulnerabilities of Software Defined Network and the Design of Efficient Detection and Mitigation Techniques for DDoS Attack using Machine Learning Techniques
Software Defined Networks (SDN) has created great potential and hope to overcome the need for secure, reliable and well managed next generation networks to drive effective service delivery on the go and meet the demand for high data rate and seamless connectivity expected by users. Thus, it is a …
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Study of metrics and practices for improving object oriented software quality
… process under control measurements and metrics are required. The present thesis collects the outcomes of the research the author carried on in the field of software metrics during the three years of the Ph.D. studies. Software metrics are used to measure various aspects of software …
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Energy-efficient multi-criteria packet forwarding in multi-hop wireless networks
… of realistic large-scale wireless ad-hoc networks. However, packet forwarding methods based on a single criterion, such as the traditional greedy geographic forwarding, are not sufficient in most realistic wireless settings because perfect-reception-within-rangecannot be assumed. …
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Understanding Software Development in an Open Source Context:Network Analysis of Source Code Repositories
… and benchmarking of developers’ collaboration networks. A systematic review of literature was conducted to scope OSS usage within the commercial context, while a case study with focus of understanding applicability of inner source development practices was conducted within a large company. The …
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Advancing Video Communication: From WebRTC Quality Prediction to Green Applications
… establishes a hybrid framework combining network metrics with human-centric features, specifically facial expressions and speech characteristics, achieving QoE estimation accuracy of 93% through advanced data fusion techniques. The second direction investigates QoE-aware energy efficiency, …
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THE ANTAGONISTIC AND MUTUALISTIC PLANT-INSECT INTERACTIONS OF PITCHER’S THISTLE (CIRSIUM PITCHERI [TORR. EX EAT.] TORR. & A. GRAY, ASTERACEAE), A FEDERALLY THREATENED GREAT LAKES DUNE AND COBBLE SHORE ENDEMIC PLANT
… species and may also be important for the entire network of insect flower visitors in the dune ecosystem. Pitcher's thistle flowers from late-June to early August. Many species of insect from several taxonomic orders visit Pitcher's thistle flower heads indicating a generalist pollination …
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Inverse Reinforcement Learning and Routing Metric Discovery
Uncovering the metrics and procedures employed by an autonomous networking system is an important problem with applications in instrumentation, traffic engineering, and game-theoretic studies of multi-agent environments. This thesis presents a method for utilizing inverse reinforcement learning …
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Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics
… connectivity is commonly described using networks where nodes correspond to brain locations or regions, electrodes, circuits or neurons while edges correspond to some notion of statistical dependence. Such net- work models are increasingly used in clinical neuroimaging where scientists …
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