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 10 of 10 for “"Graph metrics"”.
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Graph Metrics for Improving Cybersecurity on Software Dependency Networks
… thesis, we model software ecosystems as directed graphs, and apply various graph-theoretic metrics to quantify security risk. We compare two deep learning frameworks (PyTorch and TensorFlow) with two traditional software frameworks (npm and PyPI), identifying critical properties of their …
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Optimizing the Analysis of Electroencephalographic Data by Dynamic Graphs
… has been recently studied using tools offered by graph theory and network theory. Although the primary research focus in this area has so far been mostly on static graphs, the complex and dynamic nature of the brain’s underlying mechanism has initiated the usage of dynamic graphs, providing …
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Quantifying Resting-State Functional Connectivity in Critically Brain-Injured Patients: A Graph-Theoretical Approach with fNIRS
… spectroscopy is employed in conjunction with graph theory and machine learning to quantify resting-state functional connectivity in 16 acutely brain-injured patients and 23 healthy controls. Results revealed significant channel-level differences between the groups for three graph metrics, …
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GARNET : a Graphical Attack graph and Reachability Network Evaluation Tool
Attack graphs are valuable tools in the assessment of network security, revealing potential attack paths an adversary could use to gain control of network assets. Creating an effective visualization for attack graphs is essential to their utility, but many previous efforts produce complex displays …
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Characterization of Sparsity-aware Optimization Paths for Graph Traversal on FPGA
… (BFS) is a fundamental building block in many graph-based applications, but it is difficult to optimize for a field-programmable gate array (FPGA) due to its irregular memory-access patterns. Prior work, based on hardware description languages (HDLs) and high-level synthesis (HLS), address the …
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Graph Analytics with Data Science Languages
… exploration mechanism in Big Data Analytics is graphs, which are flexible to represent any set of interconnected objects. Graph analytics is particularly challenging mainly due to large graph sizes and the structure of graphs. In this dissertation, we work on analyzing large graphs that cannot …
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Probabilistic Modeling of Multi-relational and Multivariate Discrete Data
… methods with origins in association analysis, graph metrics, and probabilistic modeling, we identify several classes of algorithmic strategies that can supply starting points to analysts, and thus help to discover interesting multi-relational patterns from datasets. To actually mine for …
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GEOGRAPHY AND CYBERSPACE. THE FORGOTTEN RELEVANCE OF TERRITORY FOR DIGITAL POWER
… − and the nexus linking cyberspace, geography, and the territoriality of political power, including its digital expressions − that constitutes the core focus of this dissertation. Two research questions guide the inquiry. First, how do geographical factors condition the global …
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Revealing the plastic brain with functional connectivity: effects of exercise on brain plasticity and cognition
… and Sporns, 2009). In this study I first use graph metrics to describe the associations between network topology, aging, and aerobic fitness in elderly adults and voxel-wise network metrics of communication in the brain. Second, I examine how exercise training affects such metrics of brain …
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Power laws in software systems
… and properties, like, for example, software metrics, software faults, refactoring, Java byte-code, module dependencies, software fractal dimension, lines of code, software packages and so on. The common presence of power laws suggests that software systems belong to the much larger category …