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 “"network sampling"”.
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Network Sampling through Crawling
… extremely important. We consider the problem of network sampling through crawling, in which the data collectors have no knowledge of the network of interest except the identity of a starting node. The data collector can expand the observed sample by querying an observed node. While the network …
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Bayesian attributed network sampling
We address the problem of sampling in attributed networks. While uniform sampling is a task independent sampling method, in real-world, this is often difficult to implement as it requires random access to all the nodes of graph. Link tracing sampling methods such as random Walk, expansion sampling …
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The identification of components for a structured reflective tool to enhance continuous professional development of accident and emergency practitioners
… to obtain and maintain quality service delivery. Network sampling was done and a focus group was used to collect data. This study sought to identify components for a structured reflective tool to enhance continuous professional development of A&E practitioners. Reflection was seen as an important …
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THE IMPACT OF MINDSETS ON LITERACY TEACHING IN HOMESCHOOLING ENVIRONMENTS: A CHAT ANALYSIS
… over a hundred homeschooling parents through network sampling and a hundred parents submitted a survey designed to place them in one of four quadrants on a grid, assigning them a Mindset 1 rating and Mindset 2 rating. I randomly selected volunteers for each quadrant. I coded and analyzed …
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Development and evaluation of machine learning algorithms for biomedical applications
Gene network inference and drug response prediction are two important problems in computational biomedicine. The former helps scientists better understand the functional elements and regulatory circuits of cells. The latter helps a physician gain full understanding of the effective treatment on …
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Size spectra and temporal synchrony patterns in temperate and tropical river networks
… sizes in one tropical and one temperate river network over 4 sample periods. We conducted a size spectra analysis to quantify change occurring over time and across space. We were interested in quantifying how similar communities were between sample periods, across stream sizes, and between …
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Identification of key players in networks using multi-objective optimization and its applications
… in identifying both key nodes and key edges in networks. Experimental results show that the sets of key players which optimize multiple objectives perform better than the key players identified using existing algorithms, in multiple applications such as eventual influence limitation problem, …
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Resilience: The Lived Experience of Elderly Widowers Following the Death of a Spouse
… 100 years of age. Participants, identified by network sampling, lived independently and had survived the death of a long term spouse. Reflection upon the stories of these resilient widowers lead to the identification of a framework for resilience comprised of six essential and twenty incidental …
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SAMPLING AND CHARACTERIZING EVOLVING COMMUNITIES IN SOCIAL NETWORKS
<p>One of the most important structures in social networks is communities. Understanding communities is useful in many applications, such as suggesting a friend for a user in an online friendship network, recommending a product for a user in an e-commerce network, etc. However, before studying …
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Statistical inference on network data
Networks arise from modeling complex systems in various fields, such as computer science, social science, biology, psychology and finance. Understanding and analyzing networks help us better understand these complex systems and extract useful information. In this dissertation, we study problems on …
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Locating People of Interest in Social Networks
… relationships between social entities as a network, researchers can analyze them using a variety of powerful techniques. One key problem in social network analysis literature is identifying certain individuals (key players, most influential nodes) in a network. We consider the same problem …
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Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation
… biological processes are effectively modeled as networks, but a frequent assumption is that these networks do not change during data collection. However, that assumption does not hold for many phenomena, such as neural growth during learning or changes in genetic regulation during cell …