Social and Behavioral Sciences Commons^™

Big Data Applications And Challenges In Giscience (Case Studies: Natural Disaster And Public Health Crisis Management), Amir Masoud Forati

Theses and Dissertations

This dissertation examines the application and significance of user-generated big data in Geographic Information Science (GIScience), with a focus on managing natural disasters and public health crises. It explores the role of social media data in understanding human-environment interactions and in informing disaster management and public health strategies. A scalable computational framework will be developed to model extensive unstructured geotagged data from social media, facilitating systematic spatiotemporal data analysis.The research investigates how individuals and communities respond to high-impact events like natural disasters and public health emergencies, employing both qualitative and quantitative methods. In particular, it assesses the impact of socio-economic-demographic …

An Optimization Analysis Of The Subject Directory System On The Medlineplus Portal - An Investigation Of Mental Health, Children, Teenagers, And Older Adults Related Health Topics, Yifan Zhu

Theses and Dissertations

The Internet is a common means for people to search for health information. The subject directory of MedlinePlus offers Internet searchers a browsing environment so that those seekers could start from a broad term and refine their search terms to meet their real information needs, thus resulting in a better information search. For those novice users who are not familiar with relevant domain knowledge, MedlinePlus’s directory can be of great assistance and enable the portal to adopt to a more general population. Such a subject directory system and its involved health topics in the MedlinePlus portal formed a network where …

An Investigation Of Autism Support Groups On Facebook, Yuehua Zhao

Theses and Dissertations

Autism-affected users, such as autism patients, caregivers, parents, family members, and researchers, currently seek informational support and social support from communities on social media. To reveal the information needs of autism- affected users, this study centers on the research of users’ interactions and information sharing within autism communities on social media. It aims to understand how autism-affected users utilize support groups on Facebook.

A systematic method was proposed to aid in the data analysis including social network analysis, topic modeling, sentiment analysis, and inferential analysis. Social network analysis method was adopted to reveal the interaction patterns appearing in the groups, …