CitedEvidence
User Settings
Open AccessDissertation10.18419/opus-3195

Social media analysis for disaster management

Dang Huynh,Nils Rodrigues,Reinhold Rumberger-2013-01-01-OPUS Publication Server of the University of Stuttgart (University of Stuttgart)

TL;DRAbstract

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.

Chat with Paper

AI Agents for this Paper

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.

Keywords

Geospatial analysisEmergency managementPublicationData scienceComputer scienceSocial mediaAnalyticsVisual analytics

Chat

Click to start Chat