Designing Semantic Substrates for Visual Network Exploration

Aris, Aleks; Shneiderman, Ben

doi:10.1057/palgrave.ivs.9500162

Cited by 44 publications

(34 citation statements)

References 33 publications

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“…A pure attribute only based generic constraint-based layout technique is Shneiderman and Aris's NVSS (Network Visualisation by Semantic Substrates) 76,109 . Nodes are placed in non-overlapping regions according to the value of some attribute; nodes inside these regions can then be further positioned with respect to other attributes.…”

Section: Constraint-based Layoutsmentioning

confidence: 99%

A survey of two-dimensional graph layout techniques for information visualisation

Gibson

Faith

Vickers

2012

Information Visualization

159

104

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Many algorithms for graph layout have been devised over the last 30 years spanning both the graph drawing and information visualisation communities. This article first reviews the advances made in the field of graph drawing that have then often been applied by the information visualisation community. There then follows a discussion of a range of techniques developed specifically for graph visualisations. Graph drawing algorithms are categorised into the followings approaches: forcedirected layouts, the use of dimension reduction in graph layout and computational improvements including multi-level techniques. Methods developed specifically for graph visualisation often make use of node-attributes and are categorised based on whether the attributes are used to introduce constraints to the layout, provide a clustered view or used to define an explicit representation in 2D space. The similarities and distinctions between these techniques are examined and the aim is to provide a detailed assessment of currently available graph layout techniques, specifically how they can be used by visualisation practitioners and to motivate further research in the area.

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Section: Constraint-based Layoutsmentioning

confidence: 99%

A survey of two-dimensional graph layout techniques for information visualisation

Gibson

Faith

Vickers

2012

Information Visualization

159

104

View full text Add to dashboard Cite

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“…Semantic substrates [10] is a spatial template for a network, where nodes are grouped into regions and laid out within each region according to one or more node attributes. It's applicable to demonstrate the data structure which has following two features: 1) the data can be grouped according to their attributes and regions do not overlap; 2) the data of each region is the network relation, and the links between different regions have different semantics.…”

Section: Semantic Substratesmentioning

confidence: 99%

Visualization Analysis of Multi-Domain Access Control Policy Integration Based on Tree-Maps and Semantic Substrates

Pan

Xu²

2012

IIM

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The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.

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“…The dynamism of Alignment allowed the analysts to quickly switch perspectives and focus if they need to. The idea of ``anchoring'' the data by data characteristics for exploration had been successful in visualization of other complex data such as network data (31,32) , and Alignment seems to be one natural version of it for temporal data. Developing future visualization systems for EHRs should leverage on Alignment for its power, flexibility, and wide range of applicability.…”

Section: (Use Alignment)mentioning

confidence: 99%

Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations

et al. 2011

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Current electronic health record (EHR) systems facilitate the storage, retrieval, persistence, and sharing of patient data. However, the way physicians interact with EHRs has not changed much. More specifically, support for temporal analysis of a large number of EHRs has been lacking. A number of information visualization techniques have been proposed to alleviate this problem. Unfortunately, due to their limited application to a single case study, the results are often difficult to generalize across medical scenarios. We present the usage data of Lifelines2 [22], our information visualization system, and user comments, both collected over eight different medical case studies. We generalize our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations to information visualization tools to explore EHR systems.

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Designing Semantic Substrates for Visual Network Exploration

Cited by 44 publications

References 33 publications

A survey of two-dimensional graph layout techniques for information visualisation

A survey of two-dimensional graph layout techniques for information visualisation

Visualization Analysis of Multi-Domain Access Control Policy Integration Based on Tree-Maps and Semantic Substrates

Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations

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