JSNVA: A Java Straight-Line Drawing Framework for Network Visual Analysis

Authors:
Qi Ye;Bin Wu;Bai Wang
Affiliations:
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China 100876;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China 100876;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China 100876
Venue:
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Year:
2008

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Abstract

Although information visualization technologies are indispensable in complex data analysis, wide-spread tools still need to be developed, as successful information visualization applications often require domain-specific customization. In this paper we introduce a software framework JSNVA for network visual analysis in different applications. JSNVA has a clear architecture and supports a more systematic way of implementing different straight-line graph drawing algorithms which show different networks on different views. JSNVA can be used as a front-end for visualization and a back-end for analysis in applications, and it can be customized for different applications. To evaluate JSNVA, we will give its applications in different graph mining tasks. Through visual analyzing these networks by different interactive visualization techniques and algorithms, we can get their underlying structure intuitively and quickly.