Social Media and Big Data II

Type: Paper
Theme:
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: 10:15 AM / 11:30 AM
Room: Governors Square 17, Sheraton, Concourse Level
Organizers: Chanwoo Jin, Ming-Hsiang Tsou, Atsushi Nara
Chairs: Ming-Hsiang Tsou

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 (mtsou@sdsu.edu) by October 28, 2019.
If you have any questions, please do not hesitate to email to the session organizers.


Description

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).


Agenda

Type Details Minutes Start Time
Presenter Shujuan Li*, University of Arizona, Bo Yang, University of Arizona, Visitors’ behavior and landscape perception: A case study of Saguaro National Park based on social media data 15 10:15 AM
Presenter Akos Jakobi*, Eotvos Lorand University, Hidden geographies and inequalities of an online social network 15 10:30 AM
Presenter Harvey Neo*, Singapore University of Technology and Design, CP Pow*, National University Of Singapore, Peopling cities of technology and big data: towards a citizen urban science 15 10:45 AM
Presenter Jin-Kyu Jung*, University of Washington-Bothell, Mapping socio-spatial inequity in medical crowdfunding: A methodological discussions of social media and qualitative GIS 15 11:00 AM
Presenter Ming-Hsiang Tsou*, San Diego State University, Revisit the Convergence of GIS and Social Media in 2020 with Geospatial Data Science and Big Data Analytics 15 11:15 AM

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