scholarly journals A circular layout algorithm for attributed hierarchical graphs with ports

2021 ◽  
Vol 2099 (1) ◽  
pp. 012051
Author(s):  
V N Kasyanov ◽  
A M Merculov ◽  
T A Zolotuhin

Abstract Information visualization based on graph models is a key component of support tools for many applications in science and engineering. The Visual Graph system is intended for visualization of big amounts of complex information on the basis of attributed hierarchical graph models. In this paper, a circular layout algorithm for attributed hierarchical graphs with ports and its effective implementation in the Visual Graph system are presented.

Author(s):  
V.N. Kasyanov

Graphs are the most common abstract structure encountered in computer science and are widely used for structural information visualization. In the paper, we consider practical and general graph formalism of so called hierarchical graphs and present the Higres and ALVIS systems aimed at supporting of structural information visualization on the base of hierarchical graph models.


2020 ◽  
Vol 179 ◽  
pp. 02013
Author(s):  
Yi Zou ◽  
Na Qi

The visual design of the infographic is designed to compress complex information and present it to the audience through an intuitive and easy-to-understand expression, so that they can effectively absorb the content therein. With the continuous development of science and information visualization technology, the production methods and presentation forms of information charts have become more and more abundant, and the direction from two-dimensional information charts to multi-dimensional information charts and dynamic information charts has continuously evolved. This paper cuts in from the perspective of user experience, and proposes optimization suggestions for the current status of visual design of infographics.


2005 ◽  
Vol 4 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Colin Ware ◽  
Robert Bobrow

For reasons of clarity, a typical node–link diagram statically displayed on paper or a computer screen contains fewer than 30 nodes. However, many problems would benefit if far more complex information could be diagrammed. Following Munzner et al., we suggest that with interactive diagrams this may be possible. We describe an interactive technique whereby a subset of a larger network diagram is highlighted by being set into oscillatory motion when a node is selected with a mouse. The subset is determined by a breadth first search of the underlying graph starting from the selected node. This technique is designed to support visual queries on moderately large node-link diagrams containing up to a few thousand nodes. An experimental evaluation was carried out with networks having 32, 100, 320, 1000, and 3200 nodes respectively, and with four highlighting techniques: static highlighting, motion highlighting, static+ motion highlighting, and none. The results show that the interactive highlighting methods support rapid visual queries of nodes in close topological proximity to one another, even for the largest diagrams tested. Without highlighting, error rates were high even for the smallest network that was evaluated. Motion highlighting and static highlighting were equally effective. A second experiment was carried out to evaluate methods for showing two subsets of a larger network simultaneously in such a way that both are clearly distinct. The specific task was to determine if the two subsets had nodes in common. The results showed that this task could be performed rapidly and with few errors if one subset was highlighted using motion and the other was highlighted using a static technique. We discuss the implications for information visualization.


2018 ◽  
Vol 4 ◽  
pp. e25742 ◽  
Author(s):  
Lilliana Sancho-Chavarria ◽  
Fabian Beck ◽  
Daniel Weiskopf ◽  
Erick Mata-Montero

Maintenance and curation of large-sized biological taxonomies are complex and laborious activities. Information visualization systems use interactive visual interfaces to facilitate analytical reasoning on complex information. Several approaches such as treemaps, indented lists, cone trees, radial trees, and many others have been used to visualize and analyze a single taxonomy. In addition, methods such as edge drawing, animation, and matrix representations have been used for comparing trees. Visualizing similarities and differences between two or more large taxonomies is harder than the visualization of a single taxonomy. On one hand, less space is available on the screen to display each tree; on the other hand, differences should be highlighted. The comparison of two alternative taxonomies and the analysis of a taxonomy as it evolves over time provide fundamental information to taxonomists and global initiatives that promote standardization and integration of taxonomic databases to better document biodiversity and support its conservation. In this work we assess how ten user visualization tasks for the curation of biological taxonomies are supported by several visualization tools. Tasks include the identification of conditions such as congruent taxa, splits, merges, and new species added to a taxonomy. We consider tools that have gone beyond the prototype stage, that have been described in peer-reviewed publications, or are in current use. We conclude with the identification of challenges for future development of taxonomy comparison tools.


Author(s):  
Wita Wojkowski

Information visualization refers to technologies that support visualization and help in the interpretation of information. These technologies include digital images, graphical user interfaces, animations, three dimensional presentations, geographic information systems, virtual reality, and of course, tables and graphs. All of these visualization techniques might be used in enterprise portals where the portal user often handles large amounts of data of different types, from many different sources, and utilizes various software tools. Information visualization helps enterprise portal users understand and interpret complex information, and most importantly, helps identify relationships. That is, information visualization allows portal users to study information in a new way which can lead to novel insights.


2020 ◽  
Vol 44 ◽  
pp. 1
Author(s):  
Jorge Otávio Maia Barreto ◽  
Maritsa C. Bortoli ◽  
Cézar D. Luquine Jr. ◽  
Cintia F. Oliveira ◽  
Tereza S. Toma ◽  
...  

The present report describes the process and results obtained with a knowledge translation project developed in three stages to identify barriers to the Implementation of the National Guidelines for Normal Childbirth in Brazil, as well strategies for effective implementation. The Improving Programme Implementation through Embedded Research (iPIER) model and the Supporting Policy Relevant Reviews and Trials (SUPPORT) tools provided the methodological framework for the project. In the first stage, the quality of the Guidelines was evaluated and the barriers preventing implementation of the recommendations were identified through review of the global evidence and analysis of contributions obtained in a public consultation process. In the second stage, an evidence synthesis was used as the basis for a deliberative dialogue aimed at prioritizing the barriers identified. Finally, a second evidence synthesis was presented in a new deliberative dialogue to discuss six options to address the prioritized barriers: 1) promote the use of multifaceted interventions; 2) promote educational interventions for the adoption of guidelines; 3) perform audits and provide feedback to adjust professional practice; 4) use reminders to mediate the interaction between workers and service users; 5) enable patient-mediated interventions; and 6) engage opinion leaders to promote use of the Guidelines. The processes and results associated with each stage were documented and formulated to inform a review and update of the Guidelines and the development of an implementation plan for the recommendations. Effective implementation of the Guidelines is important for improving the care provided during labor and childbirth in Brazil.


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