Towards a collaborative geosocial analysis workbench

Authors:
A. Croitoru;A. Stefanidis;J. Radzikowski;A. Crooks;J. Stahl;N. Wayant
Affiliations:
George Mason University, MS, Fairfax, VA;George Mason University, MS, Fairfax, VA;George Mason University, MS, Fairfax, VA;George Mason University, MS, Fairfax, VA;US Army ERDC Topographic Engineering Center, Alexandria, VA;US Army ERDC Topographic Engineering Center, Alexandria, VA
Venue:
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Year:
2012

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Abstract

Social media contributions are manifestations of humans acting as sensors, participating in activities, reacting to events, and reporting issues that are considered important. Harvesting this information offers a unique opportunity to monitor the human landscape, and gain unparalleled situational awareness, especially as it relates to sociocultural dynamics. However, this requires the emergence of a novel GeoSocial analysis paradigm. Towards this goal, in this paper we present a framework for collaborative GeoSocial analysis, which is designed around data harvesting from social media feeds (starting with twitter and flickr) and the concept of a collaborative GeoSocial Analysis Workbench (G-SAW). We present key concepts of this framework, and early test implementation results in order to demonstrate the potential of the G-SAW framework for enhanced situational awareness.