Literature DB >> 17080794

Network visualization by semantic substrates.

Ben Shneiderman1, Aleks Aris.   

Abstract

Networks have remained a challenge for information visualization designers because of the complex issues of node and link layout coupled with the rich set of tasks that users present. This paper offers a strategy based on two principles: (1) layouts are based on user-defined semantic substrates, which are non-overlapping regions in which node placement is based on node attributes, (2) users interactively adjust sliders to control link visibility to limit clutter and thus ensure comprehensibility of source and destination. Scalability is further facilitated by user control of which nodes are visible. We illustrate our semantic substrates approach as implemented in NVSS 1.0 with legal precedent data for up to 1122 court cases in three regions with 7645 legal citations.

Year:  2006        PMID: 17080794     DOI: 10.1109/TVCG.2006.166

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  8 in total

1.  Discovering hidden relationships between renal diseases and regulated genes through 3D network visualizations.

Authors:  Suresh K Bhavnani; Arunkumaar Ganesan; Theodore Hall; Eric Maslowski; Felix Eichinger; Sebastian Martini; Paul Saxman; Gowtham Bellala; Matthias Kretzler
Journal:  BMC Res Notes       Date:  2010-11-11

2.  GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration.

Authors:  Charles D Stolper; Minsuk Kahng; Zhiyuan Lin; Florian Foerster; Aakash Goel; John Stasko; Duen Horng Chau
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12-31       Impact factor: 4.579

3.  TS-Extractor: large graph exploration via subgraph extraction based on topological and semantic information.

Authors:  Kun Fu; Tingyun Mao; Yang Wang; Daoyu Lin; Yuanben Zhang; Junjian Zhan; Xian Sun; Feng Li
Journal:  J Vis (Tokyo)       Date:  2020-09-22       Impact factor: 1.331

4.  ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery.

Authors:  Christian Partl; Alexander Lex; Marc Streit; Hendrik Strobelt; Anne-Mai Wassermann; Hanspeter Pfister; Dieter Schmalstieg
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12       Impact factor: 4.579

5.  Domino: Extracting, Comparing, and Manipulating Subsets Across Multiple Tabular Datasets.

Authors:  Samuel Gratzl; Nils Gehlenborg; Alexander Lex; Hanspeter Pfister; Marc Streit
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12       Impact factor: 4.579

6.  Methods for visual mining of genomic and proteomic data atlases.

Authors:  John Boyle; Richard Kreisberg; Ryan Bressler; Sarah Killcoyne
Journal:  BMC Bioinformatics       Date:  2012-04-23       Impact factor: 3.169

7.  Graffinity: Visualizing Connectivity in Large Graphs.

Authors:  E Kerzner; A Lex; C L Sigulinsky; T Umess; B W Jones; R E Marc; M Meyer
Journal:  Comput Graph Forum       Date:  2017-07-04       Impact factor: 2.078

8.  eXamine: exploring annotated modules in networks.

Authors:  Kasper Dinkla; Mohammed El-Kebir; Cristina-Iulia Bucur; Marco Siderius; Martine J Smit; Michel A Westenberg; Gunnar W Klau
Journal:  BMC Bioinformatics       Date:  2014-07-10       Impact factor: 3.169

  8 in total

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