Skip to Main Content
Frequently Asked Questions
Submit an ETD
Global Search Box
Need Help?
Keyword Search
Participating Institutions
Advanced Search
School Logo
Files
File List
Dissertation_Zheye_11222018.pdf (3.74 MB)
ETD Abstract Container
Abstract Header
Analyzing social media data to enrich human-centric information for natural disaster management
Author Info
Wang, Zheye, Wang
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=kent1542645723348042
Abstract Details
Year and Degree
2018, PHD, Kent State University, College of Arts and Sciences / Department of Geography.
Abstract
Over the past several decades, the frequency and intensity of natural disasters have dramatically increased, causing great damage to human society. To reduce the impact of disasters to humanity, social media data are increasingly used to provide useful human-centric information for better accomplishing various management tasks during all disaster phases, i.e. mitigation, preparedness, response, and recovery. Four dimensions including space, time, content, and network in social media data have received particular attention in literature. A framework has been developed in this dissertation to systematically evaluate the four dimensions in social media data and address the following questions: (1) which combinations of dimensions have been implemented more (or less) frequently in existing studies? (2) what research questions and data analysis tasks could be raised based on the combinations of these dimensions? (3) how to improve the synthesis of social media data with remote sensing imagery and census data? This dissertation has two case studies. The first one shows how to separately analyze the four dimensions with kernel density estimation, histograms, latent Dirichlet allocation (LDA), and social network analysis to gain insights into situational awareness in wildfire hazards. The second case study develops a novel approach to integrate space, time, and content dimensions and enable a space-time analysis of social responses to Hurricane Sandy. This dissertation improves the understanding of the role of social media in natural disaster management.
Committee
Xinyue Ye (Advisor)
Scott Sheridan (Committee Member)
Jay Lee (Committee Member)
Ye Zhao (Committee Member)
Pages
119 p.
Subject Headings
Geographic Information Science
;
Geography
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Wang, Wang, Z. (2018).
Analyzing social media data to enrich human-centric information for natural disaster management
[Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1542645723348042
APA Style (7th edition)
Wang, Wang, Zheye.
Analyzing social media data to enrich human-centric information for natural disaster management.
2018. Kent State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=kent1542645723348042.
MLA Style (8th edition)
Wang, Wang, Zheye. "Analyzing social media data to enrich human-centric information for natural disaster management." Doctoral dissertation, Kent State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1542645723348042
Chicago Manual of Style (17th edition)
Abstract Footer
Document number:
kent1542645723348042
Download Count:
527
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.