|Bibliography||Huynh, Dang; Rodrigues, Nils; Rumberger, Reinhold: Social Media Analysis for Disaster Management. |
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Student Report Software Engineering No. 162 (2012).
75 pages, english.
|CR-Schema||H.1.2 (User/Machine Systems)|
J.7 (Computers in Other Systems)
K.4.m (Computers and Society Miscellaneous)
People use social networks, with increasing frequency, to communicate and publish status information. Twitter and Facebook are prominent examples. This status information contains useful, disaster related data together with an overwhelming amount of noise. For this reason, there are dedicated tools that filter this information to aid in disaster discovery, management and relief. Their development requires a lot of time and effort, which results in high costs. Generic visual analytics tools are relatively well known, supported and continuously developed by large companies. They may be a valid alternative to specifically developed tools that require specific, non-transferable training.
The primary aim of this study is to evaluate generic visual analytics tools with respect to their ability to handle disaster management scenarios. This includes, specifically, their ability to visualise and analyse the geospatial meta information provided by social media.
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|Department(s)||University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems|
|Superviser(s)||Thom, Dennis; Bosch, Harald|
|Entry date||October 31, 2013|