GeoSocial Networks Lab is home to research projects aimed at developing innovative computational and visual tools to better understand and analyze massive and complex geo-social networks. The lab is affiliated with the Department of Geographical and Sustainability Sciences and Iowa Informatics Initiative (UI3) at the University of Iowa and directed by Caglar Koylu.
Providing online and freely available tools for analyzing large, complex and diverse geo-social data is important to help promote education and training of not only geographers and spatial scientists but also social scientists. Sharing of research findings from diverse subject areas such as migration, spatial analysis of social networks, disease spread and analysis of social media data will help foster multiple perspective thinking and build a community that is particularly interested in combining theories and methodologies of diverse fields. On this site, you will find links to research, publications and software focusing on developing new theories and applications for understanding massive geo-social networks.
Assistantships available for graduate students
We offer Master's and PhD degrees both at the Department of Geographical and Sustainability Sciences, and the interdisciplinary program at Geoinformatics. Graduate teaching and research fellowships, and assistantships are available for competitive students. Before applying, please contact me with your brief research interests and CV attached. I invite competitive students for a Skype interview. The interview starts with a 6 minute, 40 second, a Pecha Kucha style presentation. Your presentation should focus on your current work, future research goals and interests, and how those intersect with my research agenda.
Data Science Institute - Geovisualization Workshop
Example Final Projects in Geoviz Spring 2017
User test for flow mapping
You are invited to participate in a user test for flow mapping, where you will be presented a series of flow maps and answer a number of questions. After taking this test, please read the InfoVis paper for information about the goals, and findings of this research and the user test.
Please contact Caglar Koylu if you have any questions or run into problems using the testing interface.
May 5, 2016 - WorldCanvass Big Data Big Brother or Big Sister - Security and privacy challenges within social networks