Ben

Currently working on tagging the individual data fields in each message entry, and saving the newly tagged tweets to a new directory.

The GeoBurst algorithm detects local news events by looking for spatiotemporal ‘bursts’ of activity. This cluster analysis uses methods which look at geo-tag clusters of phrases. Phrase network analysis has been able to historically link user clouds, however the use of GPS in mobile devices has led many users of social media to indicate their … Read more

For my Senior Research, my topic will be a data mining project using data collected from Twitter. Twitter’s API offers 1% of a spatial bandwidth (in my case, the continental U.S.A.) for users to collect. This data has been collected for over 3 years, and represents well over one billion tweets. Of these, a significant … Read more

Possible research: Spatial computational resource allocation see also: CyberGIS’16 panel Data structures are fundamental to the efficiency of algorithms pertaining to transfer and storage, computation, and visualization. Parallel and distributed computing comes in many implementations whose purposes vary greatly. Using centralized computing networks, new resources are available to more institutions, however the bridge between onsite … Read more

Panel: Future Directions of CyberGIS and Geospatial Data Science (Chair: Shaowen Wang) Panelists: Budhendra Bhaduri, Mike Goodchild, Daniel S. Katz, Mansour Raad, Tapani Sarjakoski, and Judy — Selected topics by Ben Liebersohn Michael: 3D domains are limited, more GIS integration with 3D rendition and simulation be well received. Support for different types of data, which … Read more