Social Media and Big Data I

Type: Paper
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Poster #:
Day: 4/7/2020
Start / End Time: 8:40 AM / 9:55 AM
Room: Governors Square 17, Sheraton, Concourse Level
Organizers: Atsushi Nara, Ming-Hsiang Tsou, Chanwoo Jin
Chairs: Atsushi Nara

Call for Submissions

The organized paper sessions will focus on the development of theories, methods and practices on the topics including but not limited to:

• Spatial and spatiotemporal data analytics and modeling on social media and big data
• Visualization and computation of social media and big data
• Geocomputation methodologies and techniques for effectively managing and analyzing social media and big data
• Biases, accuracy and uncertainty of geo-tagged or geo-targeted social media and big data
• Heterogenous data source integration (e.g., qualitative & quantitative, relational & object-based)
• Validation for social media analysis
• Data sharing, dissemination, and privacy issues in social media data, big data, and open data
• Location-based social network analysis
• Uncovering human dynamics hidden in geo-tracking data
• Digital divide and ethical issue in social media analytics
• Spatiotemporal diffusion of innovation and ideas in social media channels
• Emerging new media data for human dynamics research

If you are interested in joining the “Social Media and Big Data” session, please email your PIN, paper title, abstract, and contact information to Ming-Hsiang Tsou ( by October 28, 2019.
If you have any questions, please do not hesitate to email to the session organizers.


Social media and big data have transformed our world into interconnected cyberspace and real space. Geographers can now trace, monitor, map, and analyze the spread of human and social movements, disease outbreaks, nature hazards, crime incidents, and popular events by utilizing digital data available through social media platforms, open data initiatives, and cyberinfrastructures. The dynamic characteristics of social media and big data offer great research opportunities for examining and modeling human behaviors, networks, communications, and movements while there exist notable challenges related to issues with large data handling, data quality assurance, biases, privacy and ethics, transparency and reproducibility (Evans, et al. 2019; Kwan, 2016; Nara, et al. 2018; Tsou, 2015).


Type Details Minutes Start Time
Presenter Lei Zou*, Texas A&M University, Nasir Gharaibeh, Texas A&M University, Michelle Meyer, Texas A&M University, Francisco Olivera, Texas A&M University, Garett Sansom, Texas A&M University, Harvesting Geographical Microdata of Flash Flood from Social Media 15 8:40 AM
Presenter Zhenlong LI*, University of South Carolina, Social Media Analytics for Disaster Management 15 8:55 AM
Presenter Volodymyr Mihunov*, Louisiana State University, Nina Lam, Louisiana State University, Lei Zou, Texas A&M, Zheye Wang, Louisiana State University, Kejin Wang, Louisiana State University, Use of Twitter in Disaster Rescue: Lessons learned from Hurricane Harvey 15 9:10 AM
Presenter Ping Yin*, University of Mary Washington, Linking Geo-tagged social media data with health registries to improve public health studies 15 9:25 AM
Presenter Atsushi Nara*, San Diego State University, Spatiotemporal data analytics to explore real estate market trends 15 9:40 AM

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