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 14 of 14 for “"Exponential random graph models"”.
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Inferring differences between networks using Bayesian exponential random graph models
… in the study. Most statistical network models, however, were originally proposed to describe a single underlying relational structure such as friendships between individuals or hyperlinks between web pages. As a result, the development of these models has largely been restricted to the …
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The use of exponential random graph models to explore social foraging dynamics of interspecific songbird assemblages
… for hypothesis testing. One such advance is exponential random graph models (ERGMs). Developed for the social sciences, ERGMs analyze how network structures (i.e., configurations of edges) and attributes of nodes and edges affect the formation of edges. This allows practitioners to explore …
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Bayesian multiple-network multi-layer exponential random graph models (MNML-ERGMs): developing efficient inference and application to neuroimaging
… probabilistic modelling. However, most network models focus on describing a single binary network. The exponential random graph model (ERGM) belongs to such models, which characterise the distribution of networks through a set of network summary statistics. Each summary statistic provides a …
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Exponential Random Graphs and a Generalization of Parking Functions
<p>Random graphs are a powerful tool in the analysis of modern networks. Exponential random graph models provide a framework that allows one to encode desirable subgraph features directly into the probability measure. Using the theory of graph limits pioneered by Borgs et. al. as a foundation, we …
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Structure and evolution of communication networks in organizations
… networks in an organization differ from random networks and other social networks. We also compare and contrast the three types of communication networks. Using Quadratic Assignment Procedure (QAP), Multiple Regression Quadratic Assignment Procedure (MRQAP) and Exponential Random Graph …
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A Network Approach to Nuclear Deterrence
… system instead of traditional game theoretical models. Four networks are created representing ties of influence on states in the international system based on the four dimensions of DIME (Diplomacy, Information, Military, and Economics). Core states in each network are identified through degree …
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Exploring the Use of Social Network Analysis On Physician Networks Created from Medicare Data through Studying the Use of Minimally Invasive Breast Biopsy Among Physicians: Descriptions, Regressions, and Network Models
… useful as supplements to standard statistical models such as hierarchical regression. Further, we aimed to build social network models, specifically exponential random graph models and network autocorrelation models, in exploring the structure of physician networks and in determining if social …
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Statistical Methods for Biological and Relational Data
… multiple testing and social networking. The models for classification are applied to gene expression data. The first method looks at variable selection to show the usefulness of sequential classification and regression trees to more advance methods. The second method uses Monte Carlo methods …
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Inequality and International Human Trafficking Flows: A Network Analysis
… using social network analysis and temporal exponential random graph models (TERGM) methodology. I find that each group of indicators – development, economic health, or political health – features both significant raw scores and significant relative deprivation terms. Furthermore, both raw …
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Engineering Shared Leadership for Human and Autonomy Collaboration in Multi-Agent Systems
… as a capability-based predictor, while temporal exponential random graph models at the individual levels demonstrated that trust operated as an individualized experience-driven factor for predicting leadership assignment. The results provided foundational evidence supporting TCIN in predicting …
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Epistemic communities and regional governance: policy development in municipal finance reform
… social network methods such as network mapping, exponential random graph models and quadratic assignment procedures analysis, I identify and analyze the municipal finance ECs that exist in Michigan. I examine the composition, interaction patterns, motivations for interactions, and functional …
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Essays on Law Enforcement Misconduct and Social Network Analysis
… applies descriptive social network analysis and exponential random graph models to data on civilian complaints against NYPD officers; it examines how network properties like centrality distribution, density, and homophily vary between types of misconduct. I find structural differences between the …
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Bio-Behavioral Models for HIV Prevention
… project is to compare compartmental and network models in how they explain the dynamics of a system in which some individuals engage in circular migrations. Another goal is to understand the role such movement patterns play in HIV transmission, given the critical interaction between acute …
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Collaboration in scientific digital ecosystems: A socio-technical network analysis
… network for a period spanning 7-years using exponential random graph models (ERGM). This paper applies theory of network (network science) to model network formation patterns in developer community. The third paper, like the first, applies network theory and to understand user network …