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SoDA: Dynamic Visual Analytics of Big Social Data

Hassan, Sabri, Sänger, Johannes and Pernul, Günther (2014) SoDA: Dynamic Visual Analytics of Big Social Data. In: Proc. of the 1st international Conference on Big Data and Smart Computing. Bangkok, Thailand.

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Other URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6741433


Abstract

In this work we apply dynamic visual analytics on big social data by the example of microblogs from Twitter. Thereby, we address current challenges like real-time analytics as well as analyses of unstructured data. To this end, we propose SoDA - a concept enabling the integrated analysis of the dimensions: message, location and time. Furthermore, we introduce a novel design for tag cloud ...

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Item type:Book section
Date:2014
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Identification Number:
ValueType
10.1109/BIGCOMP.2014.6741433DOI
Keywords:Big Data, Big Social Data, Big Data Analytics
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:29473
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