Network science emerged as an interdisciplinary field over the last 20 years, and played a central role to address fundamental problems in other fields, e.g., epidemiology, public health, and transportation, and is now part of most university curriculums. Network dynamics is a major area within network science where researchers study different forms of processes in networked populations, such as the spread of emotions, influence, opinions, flu, ebola, and mass movements. These processes often referred to individually and collectively as contagions. Contagions are increasingly studied because of their economic, social, and political impacts. Yet, resources for studying network dynamics are largely dispersed and stand-alone. Furthermore, many researchers interested in the study of networks are not computer scientists. As a result, they do not have easy access to computing and data resources. Even with the presence of software or tools, it is challenging to install, build, and maintain software. These challenges create a barrier for researchers and domain scientists. The goal of this work is the design and implementation of a research framework for modeling contagions on large networked populations. The framework consists of various systems and services that provide support for researchers and domain scientists at different stages of their research workflow. / Ph. D. / Network science is a field which studies complex networks. Network science emerged over the last 20 years as an interdisciplinary academic field which integrates data, tools, and theories from multiple disciplines, and use this integration to address fundamental problems in other fields, e.g., epidemiology, public health, and transportation, and is now part of most university curriculums. Network dynamics is a major area within network science where researchers study different forms of processes in networked populations, such as the spread of emotions, influence, opinions, flu, ebola, and mass movements. These processes often referred to individually and collectively as contagions. Contagions are increasingly studied because of their economic, social, and political impacts. To study contagions, researchers and domain scientists need both software and hardware that can collect, analyze, and manage large volumes of networked data. Furthermore, for non-computer scientists, it is more challenging to install, build, and maintain the software with the required hardware. These challenges create a barrier for researchers and domain scientists to conduct their experiments and replicate others’ work. The goal of this work is the design and implementation of various systems and services that provide support for researchers and domain scientists at different stages of their research workflow.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/84456 |
| Date | 06 February 2017 |
| Creators | El Meligy Abdelhamid, Sherif Hanie |
| Contributors | Computer Science, Marathe, Madhav Vishnu, Kuhlman, Christopher James, North, Christopher L., Ravi, S. S., Kholief, Mohamed |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf, application/pdf, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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