Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-3195
Authors: Huynh, Dang
Rodrigues, Nils
Rumberger, Reinhold
Title: Social media analysis for disaster management
Issue Date: 2013
metadata.ubs.publikation.typ: Studienarbeit
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-88336
http://elib.uni-stuttgart.de/handle/11682/3212
http://dx.doi.org/10.18419/opus-3195
Abstract: 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.
Appears in Collections:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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