SoDA: Dynamic Visual Analytics of Big Social Data

被引：0
|
作者：
Hassan, Sabri [1 ]
Saenger, Johannes [1 ]
Pernul, Guenther [1 ]
机构：
[1] Univ Regensburg, Dept Informat Syst, D-93053 Regensburg, Germany
来源：
2014 INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 visualizations, the weighted tag network, offering enhanced semantic insights. All concepts are fully implemented and evaluated by a comprehensive software prototype in different application scenarios.
引用
收藏
页码：183 / 188
页数：6
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