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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

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Wednesday, April 6 • 2:00pm - 4:30pm
Geographic Patterns for Social Network Users [P31]

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This paper studies social network users’ geographic patterns by comparing Twitter and Flickr’s user distributions through the New York City. Twitter users’ locations are more widely-spread across the city than Flickr photos’ locations. Cluster patterns are very obvious for Flickr photos by looking at specific famous landmark sites. By aggregating public available data from both social networks onto census tract level, this research analyzes the effects of the number of landmark sites and population on the number of Flickr photos and tweets. The point clusters and regression results suggest that population tends to have positive relationship with tweet counts and negative relationship with photo counts on Flickr, while the number of landmark sites have much larger positive effect on Flickr photo counts than on tweet counts. The study discusses both the similarities and differences between the distribution patterns of the two social networks based on several different methods.

Demo/Poster Presenter
avatar for Yaran Fan

Yaran Fan

MS Student in Data Science, Data Science Institute
With 3-years of industry experience focusing on data analysis and customer insights, Yaran Fan is currently pursuing a MS degree in Data Science at Data Science Institute, Columbia University.


Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (4)