• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations

TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility (0)

by T Munzner
Venue:ACM Transactions on Graphics
Add To MetaCart

Tools

Sorted by:
Results 1 - 10 of 165
Next 10 →

The Challenge of Information Visualization Evaluation

by Catherine Plaisant - In Proc. ACM Advanced Visual Interfaces , 2004
"... As the field of information visualization matures, the tools and ideas described in our research publications are reaching users. The reports of usability studies and controlled experiments are helpful to understand the potential and limitations of our tools, but we need to consider other evaluation ..."
Abstract - Cited by 195 (4 self) - Add to MetaCart
As the field of information visualization matures, the tools and ideas described in our research publications are reaching users. The reports of usability studies and controlled experiments are helpful to understand the potential and limitations of our tools, but we need to consider other evaluation approaches that take into account the long exploratory nature of users tasks, the value of potential discoveries or the benefits of overall awareness. We need better metrics and benchmark repositories to compare tools, and we should also seek reports of successful adoption and demonstrated utility. Categories and Subject Descriptors H.5.2 [Information interfaces and presentation] User Interfaces-Evaluation/methodology; Graphical user interfaces (GUI)
(Show Context)

Citation Context

...use the tasksswere complex and required working with biologists (i..e. chosensto be realistic).sThere were three first-place entries (see [21, 23] for moresinformation on all entries). TreeJuxtaposer =-=[24]-=- submitted thesmost convincing description of how the tasks could besconducted and results interpreted. Zoomology [25] demonstratedshow a custom design for a single dataset could lead to a usefulstool...

Mylar: A degree-of-interest model for IDEs

by Mik Kersten, Gail C. Murphy - In International Conference on AspectOriented Software Design , 2005
"... Even when working on a well-modularized software system, programmers tend to spend more time navigating the code than working with it. This phenomenon arises because it is impossible to modularize the code for all tasks that occur over the lifetime of a system. We describe the use of a degree-of-int ..."
Abstract - Cited by 144 (5 self) - Add to MetaCart
Even when working on a well-modularized software system, programmers tend to spend more time navigating the code than working with it. This phenomenon arises because it is impossible to modularize the code for all tasks that occur over the lifetime of a system. We describe the use of a degree-of-interest (DOI) model to capture the task context of program elements scattered across a code base. The Mylar tool that we built encodes the DOI of program elements by monitoring the programmer’s activity, and displays the encoded DOI model in views of Java and AspectJ programs. We also present the results of a preliminary diary study in which professional programmers used Mylar for their daily work on enterprise-scale Java systems.
(Show Context)

Citation Context

...the Active Mylar views is similar to what was reported by study subjects’ use of the Mylar Package Explorer: the DOI model makes the structure views visually stable and provides guaranteed visibility =-=[12]-=- for the elements of high interest. This property encourages the use of visual memory for quickly finding elements in the Mylar views. Since the study we have implemented. but not yet validated, two A...

A review of overview+detail, zooming, and focus+context interfaces

by Andy Cockburn, Amy Karlson, Benjamin B. Bederson - ACM COMPUT. SURV , 2008
"... There are many interface schemes that allow users to work at, and move between, focused and contextual views of a data set. We review and categorise these schemes according to the interface mechanisms used to separate and blend views. The four approaches are overview+detail, which uses a spatial sep ..."
Abstract - Cited by 86 (1 self) - Add to MetaCart
There are many interface schemes that allow users to work at, and move between, focused and contextual views of a data set. We review and categorise these schemes according to the interface mechanisms used to separate and blend views. The four approaches are overview+detail, which uses a spatial separation between focused and contextual views; zooming, which uses a temporal separation; focus+context, which minimizes the seam between views by displaying the focus within the context; and cue-based techniques which selectively highlight or suppress items within the information space. Critical features of these categories, and empirical evidence of their success, are discussed. The aim is to provide a succinct summary of the state-of-the-art, to illuminate successful and unsuccessful interface strategies, and to identify potentially fruitful areas for further work.

CARPENDALE S.: Interactive tree comparison for co-located collaborative information visualization

by Petra Isenberg, Sheelagh Carpendale - IEEE Trans. Vis. and Comput. Graphics
"... Abstract—In many domains, increased collaboration has lead to more innovation by fostering the sharing of knowledge, skills, and ideas. Shared analysis of information visualizations does not only lead to increased information processing power, but team members can also share, negotiate, and discuss ..."
Abstract - Cited by 53 (18 self) - Add to MetaCart
Abstract—In many domains, increased collaboration has lead to more innovation by fostering the sharing of knowledge, skills, and ideas. Shared analysis of information visualizations does not only lead to increased information processing power, but team members can also share, negotiate, and discuss their views and interpretations on a dataset and contribute unique perspectives on a given problem. Designing technologies to support collaboration around information visualizations poses special challenges and relatively few systems have been designed. We focus on supporting small groups collaborating around information visualizations in a co-located setting, using a shared interactive tabletop display. We introduce an analysis of challenges and requirements for the design of colocated collaborative information visualization systems. We then present a new system that facilitates hierarchical data comparison tasks for this type of collaborative work. Our system supports multi-user input, shared and individual views on the hierarchical data visualization, flexible use of representations, and flexible workspace organization to facilitate group work around visualizations. Index Terms—Information visualization, collaboration, co-located work, hierarchical data comparison. 1
(Show Context)

Citation Context

...specifically tailored for information visualization applications. 2.2 Hierarchical Data Comparison Systems The work most closely related to our approach is the TreeJuxtaposer system by Munzner et al. =-=[18]-=-. In this work, structural comparison of nodes is facilitated by finding the most similar (or best corresponding node) to one tree in another tree. The best corresponding node(s) and dissimilar nodes ...

DocuBurst: Visualizing Document Content using Language Structure

by Christopher Collins, Sheelagh Carpendale, Gerald Penn
"... Textual data is at the forefront of information management problems today. One response has been the development of visualizations of text data. These visualizations, commonly based on simple attributes such as relative word frequency, have become increasingly popular tools. We extend this direction ..."
Abstract - Cited by 44 (7 self) - Add to MetaCart
Textual data is at the forefront of information management problems today. One response has been the development of visualizations of text data. These visualizations, commonly based on simple attributes such as relative word frequency, have become increasingly popular tools. We extend this direction, presenting the first visualization of document content which combines word frequency with the human-created structure in lexical databases to create a visualization that also reflects semantic content. DocuBurst is a radial, space-filling layout of hyponymy (the IS-A relation), overlaid with occurrence counts of words in a document of interest to provide visual summaries at varying levels of granularity. Interactive document analysis is supported with geometric and semantic zoom, selectable focus on individual words, and linked access to source text.

Comparison of tree-child phylogenetic networks,

by G Cardona, F Rossello, G Valiente - IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2009
"... ..."
Abstract - Cited by 39 (7 self) - Add to MetaCart
Abstract not found
(Show Context)

Citation Context

... less nodes into the other network that minimizes in some specific sense the difference between the µ-vectors of the matched nodes. Although several alignment methods for phylogenetic trees are known =-=[25, 32, 33]-=-, this is to our knowledge the first one that can be applied to a larger class of phylogenetic networks. 2sWe have implemented our algorithms to recover a tree-child phylogenetic network from its data...

Simultaneous embedding of planar graphs with few bends

by Cesim Erten, Stephen G. Kobourov - In 12th Symposium on Graph Drawing (GD , 2004
"... We consider several variations of the simultaneous embedding problem for planar graphs. We begin with a simple proof that not all pairs of planar graphs have simultaneous geometric embedding. However, using bends, pairs of planar graphs can be simultaneously embedded on the O(n 2) × O(n 2) grid, wit ..."
Abstract - Cited by 37 (7 self) - Add to MetaCart
We consider several variations of the simultaneous embedding problem for planar graphs. We begin with a simple proof that not all pairs of planar graphs have simultaneous geometric embedding. However, using bends, pairs of planar graphs can be simultaneously embedded on the O(n 2) × O(n 2) grid, with at most three bends per edge, where n is the number of vertices. The O(n) time algorithm guarantees that two corresponding vertices in the graphs are mapped to the same location in the final drawing and that both the drawings are crossing-free. The special case when both input graphs are trees has several applications, such as contour tree simplification and evolutionary biology. We show that if both the input graphs are are trees, only one bend per edge is required. The O(n) time algorithm guarantees that both drawings are crossings-free, corresponding tree vertices are mapped to the same locations, and all vertices (and bends) are on the O(n 2) × O(n 2) grid (O(n 3) × O(n 3) grid). For the special case when one of the graphs is a tree and the other is a path we can find simultaneous embedding with fixed-edges. That is, we can guarantee that corresponding vertices are mapped to the same locations and that corresponding edges are drawn the same way. We describe an O(n) time algorithm for simultaneous embedding with fixededges for tree-path pairs with at most one bend per tree-edge and no bends along path edges, such that all vertices (and bends) are on the O(n) × O(n 2) grid, (O(n 2) × O(n 3) grid).
(Show Context)

Citation Context

... visualize the ancestral relationship among groups of species. Depending on the assumptions made, different algorithms produce different phylogenetic trees. Klingner and Amenta [18] and Munzner et al =-=[20]-=- present techniques for visualization of such trees. Comparing the outputs and determining the most likely evolutionary hypothesis can be difficult if the drawings of the trees are laid out independen...

Visual comparison of hierarchically organized data

by Danny Holten, Jarke J. Van Wijk - Comput. Graph. Forum
"... We provide a novel visualization method for the comparison of hierarchically organized data. Our technique visualizes a pair of hierarchies that are to be compared and simultaneously depicts how these hierarchies are related by explicitly visualizing the relations between matching subhierarchies. El ..."
Abstract - Cited by 37 (1 self) - Add to MetaCart
We provide a novel visualization method for the comparison of hierarchically organized data. Our technique visualizes a pair of hierarchies that are to be compared and simultaneously depicts how these hierarchies are related by explicitly visualizing the relations between matching subhierarchies. Elements that are unique to each hierarchy are shown, as well as the way in which hierarchy elements are relocated, split or joined. The relations between hierarchy elements are visualized using Hierarchical Edge Bundles (HEBs). HEBs reduce visual clutter, they visually emphasize the aforementioned splits, joins, and relocations of subhierarchies, and they provide an intuitive way in which users can interact with the relations. The focus throughout this paper is on the comparison of different versions of hierarchically organized software systems, but the technique is applicable to other kinds of hierarchical data as well. Various data sets of actual software systems are used to show how our technique can be employed to easily spot splits, joins, and relocations of elements, how sorting both hierarchies with respect to each other facilitates comparison tasks, and how user interaction is supported. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Viewing Algorithms I.3 1

Visualizing changes of hierarchical data using treemaps

by Ying Tu, Han-wei Shen - IEEE TVCG , 2007
"... Abstract—While the treemap is a popular method for visualizing hierarchical data, it is often difficult for users to track layout and attribute changes when the data evolve over time. When viewing the treemaps side by side or back and forth, there exist several problems that can prevent viewers from ..."
Abstract - Cited by 33 (1 self) - Add to MetaCart
Abstract—While the treemap is a popular method for visualizing hierarchical data, it is often difficult for users to track layout and attribute changes when the data evolve over time. When viewing the treemaps side by side or back and forth, there exist several problems that can prevent viewers from performing effective comparisons. Those problems include abrupt layout changes, a lack of prominent visual patterns to represent layouts, and a lack of direct contrast to highlight differences. In this paper, we present strategies to visualize changes of hierarchical data using treemaps. A new treemap layout algorithm is presented to reduce abrupt layout changes and produce consistent visual patterns. Techniques are proposed to effectively visualize the difference and contrast between two treemap snapshots in terms of the map items ’ colors, sizes, and positions. Experimental data show that our algorithm can achieve a good balance in maintaining a treemap’s stability, continuity, readability, and average aspect ratio. A software tool is created to compare treemaps and generate the visualizations. User studies show that the users can better understand the changes in the hierarchy and layout, and more quickly notice the color and size differences using our method. Index Terms—Treemap, tree comparison, visualize changes, treemap layout algorithm. 1
(Show Context)

Citation Context

... Comparisons: Our visualization techniques are designed to compare hierarchical data with treemaps. Using visualization to assist tree comparisons has been studied before. For example, Munzner et al. =-=[8]-=- compare phylogenetic trees. The focus of their comparison is on the tree structures. In this paper, we mainly focus on attributed trees, trees whose leaf nodes are associated with attributes. Our vis...

Moiregraphs: Radial focus+context visualization and interaction for graphs with visual nodes

by T. J. Jankun-kelly, Kwan-liu Ma - in Proc. IEEE Symposium on Information Visualization, INFOVIS 2003, T. Munzner and
"... Graph and tree visualization techniques enable interactive exploration of complex relations while communicating topology. However, most existing techniques have not been designed for situations where visual information such as images is also present at each node and must be displayed. This paper pre ..."
Abstract - Cited by 33 (2 self) - Add to MetaCart
Graph and tree visualization techniques enable interactive exploration of complex relations while communicating topology. However, most existing techniques have not been designed for situations where visual information such as images is also present at each node and must be displayed. This paper presents MoireGraphs to address this need. MoireGraphs combine a new focus+context radial graph layout with a suite of interaction techniques (focus strength changing, radial rotation, level highlighting, secondary foci, animated transitions and node information) to assist in the exploration of graphs with visual nodes. The method is scalable to hundreds of displayed visual nodes.
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University