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Editorial Introduction to the special issue on graph visualization Visual communication through graphical or sign languages has long been conducted among human beings of different backgrounds or cultures, and in recent decades between human and machine. Graphs have been pervasive in almost all disciplines, used to represent relationships among entities. Graph visualization has been successfully employed in knowledge discovery, visual programming, modeling, social network analysis, education, and design activities by people of many disciplines including architects, artists, children, engineers, and scientists. This special issue includes two papers, selected from The 2009 Visual Information Communications International (VINCI’09), that was held on 24–25 September 2009, in Sydney, Australia. All the papers submitted to VINCI’09 were reviewed by at least three program committee members. The two papers selected for this special issue received the highest scores, with the most positive review comments. Each of the two papers was then substantially extended with at least 50% more contents and further reviewed by an external expert on graph visualization. The authors went through the second round of revisions and improvements before being accepted for this special issue. The first paper, entitled ‘‘DaisyViz: A Model-based User Interface Toolkit for Interactive Information Visualization Systems’’ by Ren, Tian, Zhang, and Zhang, presents a model- based user interface toolkit, called DaisyViz. End-users would be able to rapidly develop domain-specific graph visualiza- tion applications without programming. The paper discusses the concept of User Interface Model for Information (UIMI), the architecture of DaisyViz, and how to use DaisyViz to build a graph visualization system. The authors have also con- ducted a usability study and concluded that DaisyViz is effective in helping end-users to build interactive graph visualization systems. The second paper, entitled ‘‘A New Concentric-Circle Visualization of Multi-Dimensional Data and Its Applica- tion in Network Security’’ by Lu, Zhang, Huang, and Fu, proposes a Concentric-Circle method for visualizing multidimensional network of data. They use the method to identify the main features of network attacks, such as DDoS attack, by displaying their recognizable visual patterns. The basic idea is to arrange axes representing multiple dimensions on concentric circles. Heuristics are used to improve the readability. This approach can reduce over 15% of the edge overlaps and crossings, compared with a parallel coordinate system. The authors have implemented the approach on a visual interactive network scan detection system called CCScanViewer. I would like to thank the authors for their efforts in enhancing and extending their papers for this special issue. The Editor-In-Chief, Shi-Kuo Chang’s guidance and support are particularly appreciated. Kang Zhang University of Texas at Dallas, USA E-mail address: [email protected] Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/jvlc Journal of Visual Languages and Computing 1045-926X/$ - see front matter & 2010 Elsevier Ltd. All rights reserved. doi:10.1016/j.jvlc.2010.05.001 Journal of Visual Languages and Computing 21 (2010) 193

Introduction to the special issue on graph visualization

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Contents lists available at ScienceDirect

Journal of Visual Languages and Computing

Journal of Visual Languages and Computing 21 (2010) 193

1045-92

doi:10.1

journal homepage: www.elsevier.com/locate/jvlc

Editorial

Introduction to the special issue on graph visualization

Visual communication through graphical or signlanguages has long been conducted among human beingsof different backgrounds or cultures, and in recentdecades between human and machine. Graphs have beenpervasive in almost all disciplines, used to representrelationships among entities. Graph visualization hasbeen successfully employed in knowledge discovery,visual programming, modeling, social network analysis,education, and design activities by people of manydisciplines including architects, artists, children,engineers, and scientists. This special issue includes twopapers, selected from The 2009 Visual InformationCommunications International (VINCI’09), that was heldon 24–25 September 2009, in Sydney, Australia. All thepapers submitted to VINCI’09 were reviewed by at leastthree program committee members. The two papersselected for this special issue received the highest scores,with the most positive review comments. Each of the twopapers was then substantially extended with at least 50%more contents and further reviewed by an external experton graph visualization. The authors went through thesecond round of revisions and improvements before beingaccepted for this special issue.

The first paper, entitled ‘‘DaisyViz: A Model-based UserInterface Toolkit for Interactive Information VisualizationSystems’’ by Ren, Tian, Zhang, and Zhang, presents a model-based user interface toolkit, called DaisyViz. End-users wouldbe able to rapidly develop domain-specific graph visualiza-tion applications without programming. The paper discusses

6X/$ - see front matter & 2010 Elsevier Ltd. All rights reserved.

016/j.jvlc.2010.05.001

the concept of User Interface Model for Information (UIMI),the architecture of DaisyViz, and how to use DaisyViz to builda graph visualization system. The authors have also con-ducted a usability study and concluded that DaisyViz iseffective in helping end-users to build interactive graphvisualization systems.

The second paper, entitled ‘‘A New Concentric-CircleVisualization of Multi-Dimensional Data and Its Applica-tion in Network Security’’ by Lu, Zhang, Huang, and Fu,proposes a Concentric-Circle method for visualizingmultidimensional network of data. They use the methodto identify the main features of network attacks, such asDDoS attack, by displaying their recognizable visualpatterns. The basic idea is to arrange axes representingmultiple dimensions on concentric circles. Heuristics areused to improve the readability. This approach can reduceover 15% of the edge overlaps and crossings, comparedwith a parallel coordinate system. The authors haveimplemented the approach on a visual interactivenetwork scan detection system called CCScanViewer.

I would like to thank the authors for their efforts inenhancing and extending their papers for this specialissue. The Editor-In-Chief, Shi-Kuo Chang’s guidance andsupport are particularly appreciated.

Kang ZhangUniversity of Texas at Dallas, USA

E-mail address: [email protected]