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train · 6.25k rows

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
Vis	2,011	Two-Dimensional Time-Dependent Vortex Regions Based on the Acceleration Magnitude	10.1109/TVCG.2011.249	Acceleration is a fundamental quantity of flow fields that captures Galilean invariant properties of particle motion. Considering the magnitude of this field, minima represent characteristic structures of the flow that can be classified as saddle- or vortex-like. We made the interesting observation that vortex-like min...	false	false	[ "Jens Kasten", "Jan Reininghaus", "Ingrid Hotz", "Hans-Christian Hege" ]	[]	[]	[]
Vis	2,011	Visualization of AMR Data With Multi-Level Dual-Mesh Interpolation	10.1109/TVCG.2011.252	We present a new technique for providing interpolation within cell-centered Adaptive Mesh Refinement (AMR) data that achieves C<sup>0</sup> continuity throughout the 3D domain. Our technique improves on earlier work in that it does not require that adjacent patches differ by at most one refinement level. Ou...	false	false	[ "Patrick J. Moran", "David Ellsworth" ]	[]	[]	[]
Vis	2,011	Visualization of Topological Structures in Area-Preserving Maps	10.1109/TVCG.2011.254	Area-preserving maps are found across a wide range of scientific and engineering problems. Their study is made challenging by the significant computational effort typically required for their inspection but more fundamentally by the fractal complexity of salient structures. The visual inspection of these maps reveals a...	false	false	[ "Xavier Tricoche", "Christoph Garth", "Allen R. Sanderson" ]	[]	[]	[]
Vis	2,011	Volume Analysis Using Multimodal Surface Similarity	10.1109/TVCG.2011.258	The combination of volume data acquired by multiple modalities has been recognized as an important but challenging task. Modalities often differ in the structures they can delineate and their joint information can be used to extend the classification space. However, they frequently exhibit differing types of artifacts ...	false	false	[ "Martin Haidacher", "Stefan Bruckner", "M. Eduard Gröller" ]	[]	[]	[]
Vis	2,011	Voronoi-Based Extraction and Visualization of Molecular Paths	10.1109/TVCG.2011.259	Visual analysis is widely used to study the behavior of molecules. Of particular interest are the analysis of molecular interactions and the investigation of binding sites. For large molecules, however, it is difficult to detect possible binding sites and paths leading to these sites by pure visual inspection. In this ...	false	false	[ "Norbert Lindow", "Daniel Baum", "Hans-Christian Hege" ]	[ "HM" ]	[]	[]
Vis	2,011	Vortex Visualization in Ultra Low Reynolds Number Insect Flight	10.1109/TVCG.2011.260	We present the visual analysis of a biologically inspired CFD simulation of the deformable flapping wings of a dragonfly as it takes off and begins to maneuver, using vortex detection and integration-based flow lines. The additional seed placement and perceptual challenges introduced by having multiple dynamically defo...	false	false	[ "Christopher Koehler", "Thomas Wischgoll", "Haibo Dong", "Zachary Gaston" ]	[]	[]	[]
Vis	2,011	WYSIWYG (What You See is What You Get) Volume Visualization	10.1109/TVCG.2011.261	In this paper, we propose a volume visualization system that accepts direct manipulation through a sketch-based What You See Is What You Get (WYSIWYG) approach. Similar to the operations in painting applications for 2D images, in our system, a full set of tools have been developed to enable direct volume rendering mani...	false	false	[ "Hanqi Guo 0001", "Ningyu Mao", "Xiaoru Yuan" ]	[]	[]	[]
VAST	2,011	3D Visualization of temporal changes in bloggers' activities and interests	10.1109/VAST.2011.6102475	This paper presents a novel system for analyzing temporal changes in bloggers' activities and interests on a topic through a 3D visualization of dependency structures related to the topic. Having a dependency database built from a blog archive, our 3D visualization framework helps users to interactively exploring tempo...	false	false	[ "Masahiko Itoh", "Naoki Yoshinaga 0001", "Masashi Toyoda", "Masaru Kitsuregawa" ]	[]	[]	[]
VAST	2,011	A state transition approach to understanding users' interactions	10.1109/VAST.2011.6102476	Understanding users' interactions is considered as one of the important research topics in visual analytics. Although numerous empirical user studies have been performed to understand a user's interaction, a limited study has been successful in connecting the user's interaction to his/her reasoning. In this paper, we p...	false	false	[ "Dong Hyun Jeong", "Soo-Yeon Ji", "William Ribarsky", "Remco Chang" ]	[]	[]	[]
VAST	2,011	A two-stage framework for designing visual analytics system in organizational environments	10.1109/VAST.2011.6102463	A perennially interesting research topic in the field of visual analytics is how to effectively develop systems that support organizational users' decision-making and reasoning processes. The problem is, however, most domain analytical practices generally vary from organization to organization. This leads to diverse de...	false	false	[ "Derek Xiaoyu Wang", "Wenwen Dou", "Thomas Butkiewicz", "Eric A. Bier", "William Ribarsky" ]	[]	[]	[]
VAST	2,011	A visual analytics process for maritime resource allocation and risk assessment	10.1109/VAST.2011.6102460	In this paper, we present our collaborative work with the U.S. Coast Guard's Ninth District and Atlantic Area Commands where we developed a visual analytics system to analyze historic response operations and assess the potential risks in the maritime environment associated with the hypothetical allocation of Coast Guar...	false	false	[ "Abish Malik", "Ross Maciejewski", "Ben Maule", "David S. Ebert" ]	[]	[]	[]
VAST	2,011	A visual navigation system for querying neural stem cell imaging data	10.1109/VAST.2011.6102459	Cellular biology deals with studying the behavior of cells. Current time-lapse imaging microscopes help us capture the progress of experiments at intervals that allow for understanding of the dynamic and kinematic behavior of the cells. On the other hand, these devices generate such massive amounts of data (250GB of da...	false	false	[ "Ishwar Kulkarni", "Shanaz Y. Mistry", "Brian Cummings", "Meenakshisundaram Gopi" ]	[]	[]	[]
VAST	2,011	An integrated visualization on network events VAST 2011 mini challenge #2 award: "Outstanding integrated overview display"	10.1109/VAST.2011.6102493	To visualize security trends for the data set provided by the VAST 2011 Mini Challenge #2 a custom tool has been developed. Open source tools [1,2], web programming languages [4,7] and an open source database [3] has been used to work with the data and create a visualization for security log files containing network se...	false	false	[ "Walter Marcelo Lamagna" ]	[]	[]	[]
VAST	2,011	Analysis of large digital collections with interactive visualization	10.1109/VAST.2011.6102462	To make decisions about the long-term preservation and access of large digital collections, archivists gather information such as the collections' contents, their organizational structure, and their file format composition. To date, the process of analyzing a collection - from data gathering to exploratory analysis and...	false	false	[ "Weijia Xu", "Maria Esteva", "Suyog Dott Jain", "Varun Jain" ]	[]	[]	[]
VAST	2,011	Analyst's workspace: Protecting vastopolis	10.1109/VAST.2011.6102495	Analyst's Workspace is a sensemaking environment designed specifically for use of large, high-resolution displays. It employs a spatial workspace to integrate foraging and synthesis activities into a unified process. In this paper we describe how Analyst's Workspace solved the VAST 2011 mini-challenge #3 and discuss so...	false	false	[ "Christopher Andrews", "Mahmud Shahriar Hossain", "Samah Gad", "Naren Ramakrishnan", "Chris North 0001" ]	[]	[]	[]
VAST	2,011	Analysts aren't machines: Inferring frustration through visualization interaction	10.1109/VAST.2011.6102473	Recent work in visual analytics has explored the extent to which information regarding analyst action and reasoning can be inferred from interaction. However, these methods typically rely on humans instead of automatic extraction techniques. Furthermore, there is little discussion regarding the role of user frustration...	false	false	[ "Lane Harrison", "Wenwen Dou", "Aidong Lu", "William Ribarsky", "Derek Xiaoyu Wang" ]	[]	[]	[]
VAST	2,011	Automated measures for interpretable dimensionality reduction for visual classification: A user study	10.1109/VAST.2011.6102474	This paper studies the interpretability of transformations of labeled higher dimensional data into a 2D representation (scatterplots) for visual classification.<sup>1</sup>In this context, the term interpretability has two components: the interpretability of the visualization (the image itself) and the inte...	false	false	[ "Ilknur Icke", "Andrew Rosenberg" ]	[]	[]	[]
VAST	2,011	BaobabView: Interactive construction and analysis of decision trees	10.1109/VAST.2011.6102453	We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, and develop a system incorporating a tight integration of visualization, interaction and algorithmic sup...	false	false	[ "Stef van den Elzen", "Jarke J. van Wijk" ]	[]	[]	[]
VAST	2,011	Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study	10.1109/VAST.2011.6102438	While intelligence analysis has been a primary target domain for visual analytics system development, relatively little user and task analysis has been conducted within this area. Our research community's understanding of the work processes and practices of intelligence analysts is not deep enough to adequately address...	false	false	[ "Youn ah Kang", "John T. Stasko" ]	[]	[]	[]
VAST	2,011	City sentinel - VAST 2011 mini challenge 1 award: "Outstanding integration of computational and visual methods"	10.1109/VAST.2011.6102485	We present City Sentinel, an in-house built visual analytic software capable of handling a large collection of textual documents by combining diverse text mining and visualization tools. We applied this tool for the Vast Challenge 2011, Mini Challenge 1 over millions of tweet messages. We demonstrate how City Sentinel ...	false	false	[ "Norbert Bánfi", "László Dudás", "Zsolt Fekete", "Julianna Göbölös-Szabó", "András Lukács", "Ádám Nagy", "Adrienn Szabó", "Zoltán Szabó 0002", "Gábor Szücs" ]	[]	[]	[]
VAST	2,011	epSpread - Storyboarding for visual analytics	10.1109/VAST.2011.6102489	We present epSpread, an analysis and storyboarding tool for geolocated microblogging data. Individual time points and ranges are analysed through queries, heatmaps, word clouds and streamgraphs. The underlying narrative is shown on a storyboard-style timeline for discussion, refinement and presentation. The tool was us...	false	false	[ "Llyr ap Cenydd", "Rick Walker", "Serban R. Pop", "Helen C. Miles", "Chris J. Hughes", "William John Teahan", "Jonathan Roberts 0002" ]	[]	[]	[]
VAST	2,011	Evaluation of large display interaction using smart phones	10.1109/VAST.2011.6102466	Visual analytics, “the science of analytical reasoning facilitated by visual interactive interfaces” [5], puts high demands on the applications visualization as well as interaction capabilities. Due to their size large high-resolution screens have become popular display devices, especially when used in collaborative da...	false	false	[ "Jens Bauer", "Sebastian Thelen", "Achim Ebert" ]	[]	[]	[]
VAST	2,011	Exploring agent-based simulations using temporal graphs	10.1109/VAST.2011.6102469	Agent-based simulation has become a key technique for modeling and simulating dynamic, complicated behaviors in social and behavioral sciences. Lacking the appropriate tools and support, it is difficult for social scientists to thoroughly analyze the results of these simulations. In this work, we capture the complex re...	false	false	[ "R. Jordan Crouser", "Jeremy G. Freeman", "Remco Chang" ]	[]	[]	[]
VAST	2,011	Exploring proportions: Comparative visualization of categorical data	10.1109/VAST.2011.6102481	This poster describes an approach to facilitate comparisons in multi-dimensional categorical data. The key idea is to represent over- or under-proportional relationships explicitly. On an overview level, the visualization of various measures conveys pair-wise relationships between categorical dimensions. For more detai...	false	false	[ "Harald Piringer", "Matthias Buchetics" ]	[]	[]	[]
VAST	2,011	Find distance function, hide model inference	10.1109/VAST.2011.6102478	Faced with a large, high-dimensional dataset, many turn to data analysis approaches that they understand less well than the domain of their data. An expert's knowledge can be leveraged into many types of analysis via a domain-specific distance function, but creating such a function is not intuitive to do by hand. We ha...	false	false	[ "Jingjing Liu", "Eli T. Brown", "Remco Chang" ]	[]	[]	[]
VAST	2,011	From movement tracks through events to places: Extracting and characterizing significant places from mobility data	10.1109/VAST.2011.6102454	We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving objects. It is oriented to a class of problems where it is required to determine significant places on the basis of certain types of events occurring repeatedly in movement data. The procedure consists of four major ste...	false	false	[ "Gennady L. Andrienko", "Natalia V. Andrienko", "Christophe Hurter", "Salvatore Rinzivillo", "Stefan Wrobel" ]	[ "BP" ]	[]	[]
VAST	2,011	G-PARE: A visual analytic tool for comparative analysis of uncertain graphs	10.1109/VAST.2011.6102442	There are a growing number of machine learning algorithms which operate on graphs. Example applications for these algorithms include predicting which customers will recommend products to their friends in a viral marketing campaign using a customer network, predicting the topics of publications in a citation network, or...	false	false	[ "Hossam Sharara", "Awalin Sopan", "Galileo Namata", "Lise Getoor", "Lisa Singh" ]	[]	[]	[]
VAST	2,011	Geovisual analytics for cyber security: Adopting the GeoViz Toolkit	10.1109/VAST.2011.6102491	For the VAST 2011 Network Security Mini-Challenge, we adopted geovisual analytic methods and applied them in the field of network security. We used the GeoViz Toolkit [1] to represent cyber security events, by fabricating a simple “geography” of several sets of blocks (one for the workstations, one for the servers, and...	false	false	[ "Nicklaus A. Giacobe", "Sen Xu" ]	[]	[]	[]
VAST	2,011	Guiding feature subset selection with an interactive visualization	10.1109/VAST.2011.6102448	We propose a method for the semi-automated refinement of the results of feature subset selection algorithms. Feature subset selection is a preliminary step in data analysis which identifies the most useful subset of features (columns) in a data table. So-called filter techniques use statistical ranking measures for the...	false	false	[ "Thorsten May", "Andreas Bannach", "James Davey", "Tobias Ruppert", "Jörn Kohlhammer" ]	[]	[]	[]
VAST	2,011	Guiding security analysis through visualization	10.1109/VAST.2011.6102492	We present a multiple views visualization for the security data in the VAST 2010 Mini Challenge 2. The visualization is used to monitor log event activity on the network log data included in the challenge. Interactions are provided that allow analysts to investigate suspicious activity and escalate events as needed. Ad...	false	false	[ "Lane Harrison", "Wenwen Dou", "Aidong Lu", "William Ribarsky", "Derek Xiaoyu Wang" ]	[]	[]	[]
VAST	2,011	How locus of control influences compatibility with visualization style	10.1109/VAST.2011.6102445	Existing research suggests that individual personality differences are correlated with a user's speed and accuracy in solving problems with different types of complex visualization systems. In this paper, we extend this research by isolating factors in personality traits as well as in the visualizations that could have...	false	false	[ "Caroline Ziemkiewicz", "R. Jordan Crouser", "Ashley Rye Yauilla", "Sara L. Su", "William Ribarsky", "Remco Chang" ]	[ "HM" ]	[]	[]
VAST	2,011	Interactive data analysis with nSpace2(c)	10.1109/VAST.2011.6102497	nSpace2 is an innovative visual analytics tool that was the primary platform used to search, evaluate, and organize the data in the VAST 2011 Mini Challenge #3 dataset. nSpace2 is a web-based tool that is designed to facilitate the back-and-forth flow of the multiple steps of an analysis process, including search, data...	false	false	[ "Casey M. Canfield", "David Sheffield" ]	[]	[]	[]
VAST	2,011	Interactive decision making using dissimilarity to visually represented prototypes	10.1109/VAST.2011.6102451	To make informed decisions, an expert has to reason with multi-dimensional, heterogeneous data and analysis results of these. Items in such datasets are typically represented by features. However, as argued in cognitive science, features do not yield an optimal space for human reasoning. In fact, humans tend to organiz...	false	false	[ "Gosia Migut", "Jan C. van Gemert", "Marcel Worring" ]	[]	[]	[]
VAST	2,011	Interactive visual comparison of multiple trees	10.1109/VAST.2011.6102439	Traditionally, the visual analysis of hierarchies, respectively, trees, is conducted by focusing on one given hierarchy. However, in many research areas multiple, differing hierarchies need to be analyzed simultaneously in a comparative way - in particular to highlight differences between them, which sometimes can be s...	false	false	[ "Sebastian Bremm", "Tatiana von Landesberger", "Martin Hess", "Tobias Schreck", "Philipp Weil", "Kay Hamacher" ]	[]	[]	[]
VAST	2,011	Jigsaw to save vastopolis	10.1109/VAST.2011.6102496	This article describes our analytic process and experience of using the Jigsaw system in working on the VAST 2011 Mini Challenge 3. We describe how we extracted and worked with entities from the documents, and how Jigsaw's computational analysis capabilities and visualizations scaffolded the investigation. Based on our...	false	false	[ "Elizabeth Braunstein", "Carsten Görg", "Zhicheng Liu", "John T. Stasko" ]	[]	[]	[]
VAST	2,011	KD-photomap: Exploring photographs in space and time	10.1109/VAST.2011.6102479	KD-photomap is a web-based visual analytics system for browsing collections of geotagged Flickr photographs in search of interesting pictures, places, and events. Spatial filtering of the data is performed through zooming, moving or searching along the map. Temporal filtering is possible through defining time windows u...	false	false	[ "Iulian Peca", "Haolin Zhi", "Katerina Vrotsou", "Natalia V. Andrienko", "Gennady L. Andrienko" ]	[]	[]	[]
VAST	2,011	Mapping an epidemic outbreak: Effective analysis and presentation	10.1109/VAST.2011.6102486	The microblog challenge presented an opportunity to use commercial software for visual analysis. An epidemic outbreak occurred in the city of Vastopolis, requiring visualizations of symptoms and their spread over time. Using these tools, analysts could successfully identify the outbreak's origin and pattern of dispersi...	false	false	[ "Kevin Boone", "Edward Swing" ]	[]	[]	[]
VAST	2,011	MobileAnalymator: Animating data changes on mobile devices	10.1109/VAST.2011.6102490	MobileAnalymator (Mobile Analysis Animator) is a visual analytic system designed to analyze geospatial-temporal data on mobile devices. The system is an Internet based application that allows analysts to work in flexile enviornments at anytime. Its client side is developed by Adobe Flash to animate and interact with da...	false	false	[ "Victor Y. Chen", "Cheryl Z. Qian", "Li Zhang" ]	[]	[]	[]
VAST	2,011	Network-based visual analysis of tabular data	10.1109/VAST.2011.6102440	Tabular data are pervasive. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look at multiple networks fro...	false	false	[ "Zhicheng Liu", "Shamkant B. Navathe", "John T. Stasko" ]	[ "HM" ]	[]	[]
VAST	2,011	Observation-level interaction with statistical models for visual analytics	10.1109/VAST.2011.6102449	In visual analytics, sensemaking is facilitated through interactive visual exploration of data. Throughout this dynamic process, users combine their domain knowledge with the dataset to create insight. Therefore, visual analytic tools exist that aid sensemaking by providing various interaction techniques that focus on ...	false	false	[ "Alex Endert", "Chao Han", "Dipayan Maiti", "Leanna House", "Scotland Leman", "Chris North 0001" ]	[]	[]	[]
VAST	2,011	Obvious: A meta-toolkit to encapsulate information visualization toolkits - One toolkit to bind them all	10.1109/VAST.2011.6102446	This article describes “Obvious”: a meta-toolkit that abstracts and encapsulates information visualization toolkits implemented in the Java language. It intends to unify their use and postpone the choice of which concrete toolkit(s) to use later-on in the development of visual analytics applications. We also report on ...	false	false	[ "Jean-Daniel Fekete", "Pierre-Luc Hemery", "Thomas Baudel", "Jo Wood" ]	[]	[]	[]
VAST	2,011	Orion: A system for modeling, transformation and visualization of multidimensional heterogeneous networks	10.1109/VAST.2011.6102441	The study of complex activities such as scientific production and software development often require modeling connections among heterogeneous entities including people, institutions and artifacts. Despite numerous advances in algorithms and visualization techniques for understanding such social networks, the process of...	false	false	[ "Jeffrey Heer", "Adam Perer" ]	[]	[]	[]
VAST	2,011	ParallelTopics: A probabilistic approach to exploring document collections	10.1109/VAST.2011.6102461	Scalable and effective analysis of large text corpora remains a challenging problem as our ability to collect textual data continues to increase at an exponential rate. To help users make sense of large text corpora, we present a novel visual analytics system, Parallel-Topics, which integrates a state-of-the-art probab...	false	false	[ "Wenwen Dou", "Derek Xiaoyu Wang", "Remco Chang", "William Ribarsky" ]	[]	[]	[]
VAST	2,011	Perception-based visual quality measures	10.1109/VAST.2011.6102437	In recent years diverse quality measures to support the exploration of high-dimensional data sets have been proposed. Such measures can be very useful to rank and select information-bearing projections of very high dimensional data, when the visual exploration of all possible projections becomes unfeasible. But even th...	false	false	[ "Georgia Albuquerque", "Martin Eisemann", "Marcus A. Magnor" ]	[]	[]	[]
VAST	2,011	Pexel and heatmap visual analysis of multidimensional gun/homicide data	10.1109/VAST.2011.6102482	We present a visual analysis tool for mining correlations in county-level, multidimensional gun/homicide data. The tool uses 2D pexels, heatmaps, linked-views, dynamic queries and details-on-demand to analyze annual county-level data on firearm homicide rates and gun availability, as well as various socio-demographic m...	false	false	[ "Scott D. Rothenberger", "John E. Wenskovitch", "G. Elisabeta Marai" ]	[]	[]	[]
VAST	2,011	Pointwise local pattern exploration for sensitivity analysis	10.1109/VAST.2011.6102450	Sensitivity analysis is a powerful method for discovering the significant factors that contribute to targets and understanding the interaction between variables in multivariate datasets. A number of sensitivity analysis methods fall into the class of local analysis, in which the sensitivity is defined as the partial de...	false	false	[ "Zhenyu Guo", "Matthew O. Ward", "Elke A. Rundensteiner", "Carolina Ruiz" ]	[]	[]	[]
VAST	2,011	PORGY: Interactive and visual reasoning with graph rewriting systems	10.1109/VAST.2011.6102480	Graph rewriting systems are easily described and explained. They can be seen as a game where one iterates transformation rules on an initial graph, until some condition is met. A rule describes a local pattern (i.e. a subgraph) that must be identified in a graph and specifies how to transform this subgraph. The graph r...	false	false	[ "Bruno Pinaud", "Jonathan Dubois", "Guy Melançon" ]	[]	[]	[]
VAST	2,011	Query-based coordinated multiple views with Feature Similarity Space for visual analysis of MRI repositories	10.1109/VAST.2011.6102467	It is a laborious process to quantify relationship patterns within a feature-rich archive. For example, understanding the degree of neuroanatomical similarity between the scanned subjects of a Magnetic Resonance Imaging (MRI) repository is a nontrivial task. In this work we present a Coordinated Multiple View (CMV) sys...	false	false	[ "Ian Bowman", "Shantanu H. Joshi", "John D. Van Horn" ]	[]	[]	[]
VAST	2,011	Reasonable abstractions: Semantics for dynamic data visualization	10.1109/VAST.2011.6102468	Chi showed how to treat visualization programing models abstractly. This provided a firm theoretical basis for the data-state model of visualization. However, Chi's models did not look deeper into fine-grained program properties, such as execution semantics. We present conditionally deterministic and resource bounded s...	false	false	[ "Joseph A. Cottam", "Andrew Lumsdaine" ]	[]	[]	[]
VAST	2,011	SAVE: Sensor anomaly visualization engine	10.1109/VAST.2011.6102458	Diagnosing a large-scale sensor network is a crucial but challenging task. Particular challenges include the resource and bandwidth constraints on sensor nodes, the spatiotemporally dynamic network behaviors, and the lack of accurate models to understand such behaviors in a hostile environment. In this paper, we presen...	false	false	[ "Lei Shi 0002", "Qi Liao 0002", "Yuan He 0004", "Rui Li 0047", "Aaron Striegel", "Zhong Su" ]	[]	[]	[]
VAST	2,011	ScatterBlogs: Geo-spatial document analysis	10.1109/VAST.2011.6102488	We presented Scatterblogs, a system for microblog analysis that seamlessly integrates search backend and visual frontend. It provides powerful, automatic algorithms for detecting spatio-temporal `anomalies' within blog entries as well as corresponding visual representations and interaction facilities for inspecting ano...	false	false	[ "Harald Bosch", "Dennis Thom", "Michael Wörner 0001", "Steffen Koch 0001", "Edwin Puttmann", "Dominik Jäckle", "Thomas Ertl" ]	[]	[]	[]
VAST	2,011	SensePlace2: GeoTwitter analytics support for situational awareness	10.1109/VAST.2011.6102456	Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional planning, to political campaigning. Social media are becoming an important information input to support situational a...	false	false	[ "Alan M. MacEachren", "Anuj R. Jaiswal", "Anthony C. Robinson", "Scott Pezanowski", "Alexander Savelyev", "Prasenjit Mitra", "Xiao Zhang 0019", "Justine I. Blanford" ]	[ "TT" ]	[]	[]
VAST	2,011	Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics	10.1109/VAST.2011.6102447	Asynchronous Collaborative Visual Analytics (ACVA) leverages group sensemaking by releasing the constraints on when, where, and who works collaboratively. A significant task to be addressed before ACVA can reach its full potential is effective common ground construction, namely the process in which users evaluate insig...	false	false	[ "Yang Chen", "Jamal Alsakran", "Scott Barlowe", "Jing Yang 0001", "Ye Zhao 0003" ]	[]	[]	[]
VAST	2,011	TreeVersity: Comparing tree structures by topology and node's attributes differences	10.1109/VAST.2011.6102471	It is common to classify data in hierarchies, they provide a comprehensible way of understanding big amounts of data. From budgets to organizational charts or even the stock market, trees are everywhere and people find them easy to use. However when analysts need to compare two versions of the same tree structure, or t...	false	false	[ "John Alexis Guerra Gómez", "Audra Buck-Coleman", "Catherine Plaisant", "Ben Shneiderman" ]	[]	[]	[]
VAST	2,011	Using random projections to identify class-separating variables in high-dimensional spaces	10.1109/VAST.2011.6102465	Projection Pursuit has been an effective method for finding interesting low-dimensional (usually 2D) projections in multidimensional spaces. Unfortunately, projection pursuit is not scalable to high-dimensional spaces. We introduce a novel method for approximating the results of projection pursuit to find class-separat...	false	false	[ "Anushka Anand", "Leland Wilkinson", "Tommy Dang" ]	[]	[]	[]
VAST	2,011	Visual analysis of route diversity	10.1109/VAST.2011.6102455	Route suggestion is an important feature of GPS navigation systems. Recently, Microsoft T-drive has been enabled to suggest routes chosen by experienced taxi drivers for given source/destination pairs in given time periods, which often take less time than the routes calculated according to distance. However, in real en...	false	false	[ "He Liu", "Yuan Gao", "Lu Lu", "Siyuan Liu", "Huamin Qu", "Lionel M. Ni" ]	[]	[]	[]
VAST	2,011	Visual analytic roadblocks for novice investigators	10.1109/VAST.2011.6102435	We have observed increasing interest in visual analytics tools and their applications in investigative analysis. Despite the growing interest and substantial studies regarding the topic, understanding the major roadblocks of using such tools from novice users' perspectives is still limited. Therefore, we attempted to i...	false	false	[ "Bum Chul Kwon", "Brian D. Fisher", "Ji Soo Yi" ]	[]	[]	[]
VAST	2,011	Visual analytical approaches to evaluating uncertainty and bias in crowd sourced crisis information	10.1109/VAST.2011.6102470	Concerns about verification mean the humanitarian community are reluctant to use information collected during crisis events, even though such information could potentially enhance the response effort. Consequently, a program of research is presented that aims to evaluate the degree to which uncertainty and bias are fou...	false	false	[ "Iain Dillingham", "Jason Dykes", "Jo Wood" ]	[]	[]	[]
VAST	2,011	Visual analytics decision support environment for epidemic modeling and response evaluation	10.1109/VAST.2011.6102457	In modeling infectious diseases, scientists are studying the mechanisms by which diseases spread, predicting the future course of the outbreak, and evaluating strategies applied to control an epidemic. While recent work has focused on accurately modeling disease spread, less work has been performed in developing intera...	false	false	[ "Shehzad Afzal", "Ross Maciejewski", "David S. Ebert" ]	[]	[]	[]
VAST	2,011	Visual analytics of terrorist activities related to epidemics	10.1109/VAST.2011.6102498	The task of the VAST 2011 Grand Challenge was to investigate potential terrorist activities and their relation to the spread of an epidemic. Three different data sets were provided as part of three Mini Challenges (MCs). MC 1 was about analyzing geo-tagged microblogging (Twitter) messages to characterize the spread of ...	false	false	[ "Enrico Bertini", "Juri Buchmüller", "Fabian Fischer 0001", "Stephan Huber", "Thomas Lindemeier", "Fabian Maass", "Florian Mansmann", "Thomas Ramm", "Michael Regenscheit", "Christian Rohrdantz", "Christian Scheible", "Tobias Schreck", "Stephan Sellien", "Florian Stoffel", "Mark Tautzenbe...	[]	[]	[]
VAST	2,011	Visual sentiment analysis on twitter data streams	10.1109/VAST.2011.6102472	Twitter currently receives about 190 million tweets (small text-based Web posts) a day, in which people share their comments regarding a wide range of topics. A large number of tweets include opinions about products and services. However, with Twitter being a relatively new phenomenon, these tweets are underutilized as...	false	false	[ "Ming C. Hao", "Christian Rohrdantz", "Halldór Janetzko", "Umeshwar Dayal", "Daniel A. Keim", "Lars-Erik Haug", "Meichun Hsu" ]	[]	[]	[]
VAST	2,011	Visual social network analytics for relationship discovery in the enterprise	10.1109/VAST.2011.6102443	As people continue to author and share increasing amounts of information in social media, the opportunity to leverage such information for relationship discovery tasks increases. In this paper, we describe a set of systems that mine, aggregate, and infer a social graph from social media inside an enterprise, resulting ...	false	false	[ "Adam Perer", "Ido Guy", "Erel Uziel", "Inbal Ronen", "Michal Jacovi" ]	[ "HM" ]	[]	[]
VAST	2,011	Visualizing an information assurance risk taxonomy	10.1109/VAST.2011.6102477	The researchers explore the intersections between Information Assurance and Risk using visual analysis of text mining operations. The methodological approach involves searching for and extracting for analysis those abstracts and keywords groupings that relate to risk within a defined subset of scientific research journ...	false	false	[ "Victoria L. Lemieux", "Barbara Endicott-Popovsky", "Karl Eckler", "Thomas Dang", "Adam Jansen" ]	[]	[]	[]
InfoVis	2,011	A Study on Dual-Scale Data Charts	10.1109/TVCG.2011.160	We present the results of a user study that compares different ways of representing Dual-Scale data charts. Dual-Scale charts incorporate two different data resolutions into one chart in order to emphasize data in regions of interest or to enable the comparison of data from distant regions. While some design guidelines...	false	false	[ "Petra Isenberg", "Anastasia Bezerianos", "Pierre Dragicevic", "Jean-Daniel Fekete" ]	[]	[]	[]
InfoVis	2,011	Adaptive Privacy-Preserving Visualization Using Parallel Coordinates	10.1109/TVCG.2011.163	Current information visualization techniques assume unrestricted access to data. However, privacy protection is a key issue for a lot of real-world data analyses. Corporate data, medical records, etc. are rich in analytical value but cannot be shared without first going through a transformation step where explicit iden...	false	false	[ "Aritra Dasgupta", "Robert Kosara" ]	[]	[]	[]
InfoVis	2,011	Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data	10.1109/TVCG.2011.166	Parallel coordinates is a popular and well-known multivariate data visualization technique. However, one of their inherent limitations has to do with the rendering of very large data sets. This often causes an overplotting problem and the goal of the visual information seeking mantra is hampered because of a cluttered ...	false	false	[ "Zhao Geng", "Zhenmin Peng", "Robert S. Laramee", "Jonathan Roberts 0002", "Rick Walker" ]	[]	[]	[]
InfoVis	2,011	Arc Length-Based Aspect Ratio Selection	10.1109/TVCG.2011.167	The aspect ratio of a plot has a dramatic impact on our ability to perceive trends and patterns in the data. Previous approaches for automatically selecting the aspect ratio have been based on adjusting the orientations or angles of the line segments in the plot. In contrast, we recommend a simple, effective method for...	false	false	[ "Justin Talbot", "John Gerth", "Pat Hanrahan" ]	[]	[]	[]
InfoVis	2,011	Asymmetric Relations in Longitudinal Social Networks	10.1109/TVCG.2011.169	In modeling and analysis of longitudinal social networks, visual exploration is used in particular to complement and inform other methods. The most common graphical representations for this purpose appear to be animations and small multiples of intermediate states, depending on the type of media available. We present a...	false	false	[ "Ulrik Brandes", "Bobo Nick" ]	[]	[]	[]
InfoVis	2,011	BallotMaps: Detecting Name Bias in Alphabetically Ordered Ballot Papers	10.1109/TVCG.2011.174	The relationship between candidates' position on a ballot paper and vote rank is explored in the case of 5000 candidates for the UK 2010 local government elections in the Greater London area. This design study uses hierarchical spatially arranged graphics to represent two locations that affect candidates at very differ...	false	false	[ "Jo Wood", "Donia Badawood", "Jason Dykes", "Aidan Slingsby" ]	[]	[]	[]
InfoVis	2,011	Benefitting InfoVis with Visual Difficulties	10.1109/TVCG.2011.175	Many well-cited theories for visualization design state that a visual representation should be optimized for quick and immediate interpretation by a user. Distracting elements like decorative "chartjunk" or extraneous information are avoided so as not to slow comprehension. Yet several recent studies in visualization r...	false	false	[ "Jessica Hullman", "Eytan Adar", "Priti Shah" ]	[ "HM" ]	[]	[]
InfoVis	2,011	BirdVis: Visualizing and Understanding Bird Populations	10.1109/TVCG.2011.176	Birds are unrivaled windows into biotic processes at all levels and are proven indicators of ecological well-being. Understanding the determinants of species distributions and their dynamics is an important aspect of ecology and is critical for conservation and management. Through crowdsourcing, since 2002, the eBird p...	false	false	[ "Nivan Ferreira", "Lauro Didier Lins", "Daniel Fink 0002", "Steve Kelling", "Christopher Wood", "Juliana Freire", "Cláudio T. Silva" ]	[]	[]	[]
InfoVis	2,011	Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data	10.1109/TVCG.2011.178	In many application fields, data analysts have to deal with datasets that contain many expressions per item. The effective analysis of such multivariate datasets is dependent on the user's ability to understand both the intrinsic dimensionality of the dataset as well as the distribution of the dependent values with res...	false	false	[ "Cagatay Turkay", "Peter Filzmoser", "Helwig Hauser" ]	[]	[]	[]
InfoVis	2,011	CloudLines: Compact Display of Event Episodes in Multiple Time-Series	10.1109/TVCG.2011.179	We propose incremental logarithmic time-series technique as a way to deal with time-based representations of large and dynamic event data sets in limited space. Modern data visualization problems in the domains of news analysis, network security and financial applications, require visual analysis of incremental data, w...	false	false	[ "Milos Krstajic", "Enrico Bertini", "Daniel A. Keim" ]	[]	[]	[]
InfoVis	2,011	Composite Density Maps for Multivariate Trajectories	10.1109/TVCG.2011.181	We consider moving objects as multivariate time-series. By visually analyzing the attributes, patterns may appear that explain why certain movements have occurred. Density maps as proposed by Scheepens et al. [25] are a way to reveal these patterns by means of aggregations of filtered subsets of trajectories. Since fil...	false	false	[ "Roeland Scheepens", "Niels Willems", "Huub van de Wetering", "Gennady L. Andrienko", "Natalia V. Andrienko", "Jarke J. van Wijk" ]	[]	[]	[]
InfoVis	2,011	Context-Preserving Visual Links	10.1109/TVCG.2011.183	Evaluating, comparing, and interpreting related pieces of information are tasks that are commonly performed during visual data analysis and in many kinds of information-intensive work. Synchronized visual highlighting of related elements is a well-known technique used to assist this task. An alternative approach, which...	false	false	[ "Markus Steinberger", "Manuela Waldner", "Marc Streit", "Alexander Lex", "Dieter Schmalstieg" ]	[ "BP" ]	[]	[]
InfoVis	2,011	Design Study of LineSets, a Novel Set Visualization Technique	10.1109/TVCG.2011.186	Computing and visualizing sets of elements and their relationships is one of the most common tasks one performs when analyzing and organizing large amounts of data. Common representations of sets such as convex or concave geometries can become cluttered and difficult to parse when these sets overlap in multiple or comp...	false	false	[ "Basak Alper", "Nathalie Henry Riche", "Gonzalo A. Ramos", "Mary Czerwinski" ]	[]	[]	[]
InfoVis	2,011	Developing and Evaluating Quilts for the Depiction of Large Layered Graphs	10.1109/TVCG.2011.187	Traditional layered graph depictions such as flow charts are in wide use. Yet as graphs grow more complex, these depictions can become difficult to understand. Quilts are matrix-based depictions for layered graphs designed to address this problem. In this research, we first improve Quilts by developing three design alt...	false	false	[ "Juhee Bae", "Benjamin Watson 0001" ]	[]	[]	[]
InfoVis	2,011	DICON: Interactive Visual Analysis of Multidimensional Clusters	10.1109/TVCG.2011.188	Clustering as a fundamental data analysis technique has been widely used in many analytic applications. However, it is often difficult for users to understand and evaluate multidimensional clustering results, especially the quality of clusters and their semantics. For large and complex data, high-level statistical info...	false	false	[ "Nan Cao", "David Gotz", "Jimeng Sun 0001", "Huamin Qu" ]	[]	[]	[]
InfoVis	2,011	Divided Edge Bundling for Directional Network Data	10.1109/TVCG.2011.190	The node-link diagram is an intuitive and venerable way to depict a graph. To reduce clutter and improve the readability of node-link views, Holten &amp; van Wijk's force-directed edge bundling employs a physical simulation to spatially group graph edges. While both useful and aesthetic, this technique has shortcom...	false	false	[ "David Selassie", "Brandon Heller", "Jeffrey Heer" ]	[]	[]	[]
InfoVis	2,011	Drawing Road Networks with Focus Regions	10.1109/TVCG.2011.191	Mobile users of maps typically need detailed information about their surroundings plus some context information about remote places. In order to avoid that the map partly gets too dense, cartographers have designed mapping functions that enlarge a user-defined focus region - such functions are sometimes called fish-eye...	false	false	[ "Jan-Henrik Haunert", "Leon Sering" ]	[]	[]	[]
InfoVis	2,011	D³ Data-Driven Documents	10.1109/TVCG.2011.185	Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM). With D3, designers...	false	false	[ "Michael Bostock", "Vadim Ogievetsky", "Jeffrey Heer" ]	[ "TT" ]	[]	[]
InfoVis	2,011	Evaluation of Artery Visualizations for Heart Disease Diagnosis	10.1109/TVCG.2011.192	Heart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endotheli...	false	false	[ "Michelle Borkin", "Krzysztof Z. Gajos", "Amanda Randles", "Dimitrios Mitsouras", "Simone Melchionna", "Frank J. Rybicki", "Charles L. Feldman", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,011	Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study	10.1109/TVCG.2011.193	Node-link diagrams are an effective and popular visualization approach for depicting hierarchical structures and for showing parent-child relationships. In this paper, we present the results of an eye tracking experiment investigating traditional, orthogonal, and radial node-link tree layouts as a piece of empirical ba...	false	false	[ "Michael Burch", "Natalia Konevtsova", "Julian Heinrich", "Markus Höferlin", "Daniel Weiskopf" ]	[]	[]	[]
InfoVis	2,011	Exploratory Analysis of Time-Series with ChronoLenses	10.1109/TVCG.2011.195	Visual representations of time-series are useful for tasks such as identifying trends, patterns and anomalies in the data. Many techniques have been devised to make these visual representations more scalable, enabling the simultaneous display of multiple variables, as well as the multi-scale display of time-series of v...	false	false	[ "Jian Zhao 0010", "Fanny Chevalier", "Emmanuel Pietriga", "Ravin Balakrishnan" ]	[]	[]	[]
InfoVis	2,011	Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback	10.1109/TVCG.2011.196	Providing effective feedback on resource consumption in the home is a key challenge of environmental conservation efforts. One promising approach for providing feedback about residential energy consumption is the use of ambient and artistic visualizations. Pervasive computing technologies enable the integration of such...	false	false	[ "Johnny Rodgers", "Lyn Bartram" ]	[]	[]	[]
InfoVis	2,011	Exploring Uncertainty in Geodemographics with Interactive Graphics	10.1109/TVCG.2011.197	Geodemographic classifiers characterise populations by categorising geographical areas according to the demographic and lifestyle characteristics of those who live within them. The dimension-reducing quality of such classifiers provides a simple and effective means of characterising population through a manageable set ...	false	false	[ "Aidan Slingsby", "Jason Dykes", "Jo Wood" ]	[]	[]	[]
InfoVis	2,011	Flexible Linked Axes for Multivariate Data Visualization	10.1109/TVCG.2011.201	Multivariate data visualization is a classic topic, for which many solutions have been proposed, each with its own strengths and weaknesses. In standard solutions the structure of the visualization is fixed, we explore how to give the user more freedom to define visualizations. Our new approach is based on the usage of...	false	false	[ "Jarry H. T. Claessen", "Jarke J. van Wijk" ]	[]	[]	[]
InfoVis	2,011	Flow Map Layout via Spiral Trees	10.1109/TVCG.2011.202	Flow maps are thematic maps that visualize the movement of objects, such as people or goods, between geographic regions. One or more sources are connected to several targets by lines whose thickness corresponds to the amount of flow between a source and a target. Good flow maps reduce visual clutter by merging (bundlin...	false	false	[ "Kevin Buchin", "Bettina Speckmann", "Kevin Verbeek" ]	[]	[]	[]
InfoVis	2,011	Focus+Context Metro Maps	10.1109/TVCG.2011.205	We introduce a focus+context method to visualize a complicated metro map of a modern city on a small displaying area. The context of our work is with regard the popularity of mobile devices. The best route to the destination, which can be obtained from the arrival time of trains, is highlighted. The stations on the rou...	false	false	[ "Yu-Shuen Wang", "Ming-Te Chi" ]	[]	[]	[]
InfoVis	2,011	Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study	10.1109/TVCG.2011.209	Working with three domain specialists we investigate human-centered approaches to geovisualization following an ISO13407 taxonomy covering context of use, requirements and early stages of design. Our case study, undertaken over three years, draws attention to repeating trends: that generic approaches fail to elicit ade...	false	false	[ "David Lloyd 0002", "Jason Dykes" ]	[]	[]	[]
InfoVis	2,011	Improved Similarity Trees and their Application to Visual Data Classification	10.1109/TVCG.2011.212	An alternative form to multidimensional projections for the visual analysis of data represented in multidimensional spaces is the deployment of similarity trees, such as Neighbor Joining trees. They organize data objects on the visual plane emphasizing their levels of similarity with high capability of detecting and se...	false	false	[ "Jose Gustavo Paiva", "Laura Florian", "Hélio Pedrini", "Guilherme P. Telles", "Rosane Minghim" ]	[]	[]	[]
InfoVis	2,011	In Situ Exploration of Large Dynamic Networks	10.1109/TVCG.2011.213	The analysis of large dynamic networks poses a challenge in many fields, ranging from large bot-nets to social networks. As dynamic networks exhibit different characteristics, e.g., being of sparse or dense structure, or having a continuous or discrete time line, a variety of visualization techniques have been specific...	false	false	[ "Steffen Hadlak", "Hans-Jörg Schulz", "Heidrun Schumann" ]	[]	[]	[]
InfoVis	2,011	Local Affine Multidimensional Projection	10.1109/TVCG.2011.220	Multidimensional projection techniques have experienced many improvements lately, mainly regarding computational times and accuracy. However, existing methods do not yet provide flexible enough mechanisms for visualization-oriented fully interactive applications. This work presents a new multidimensional projection tec...	false	false	[ "Paulo Joia", "Danilo Barbosa Coimbra", "José Alberto Cuminato", "Fernando Vieira Paulovich", "Luis Gustavo Nonato" ]	[ "HM" ]	[]	[]
InfoVis	2,011	MoleView: An Attribute and Structure-Based Semantic Lens for Large Element-Based Plots	10.1109/TVCG.2011.223	We present MoleView, a novel technique for interactive exploration of multivariate relational data. Given a spatial embedding of the data, in terms of a scatter plot or graph layout, we propose a semantic lens which selects a specific spatial and attribute-related data range. The lens keeps the selected data in focus u...	false	false	[ "Christophe Hurter", "Alexandru C. Telea", "Ozan Ersoy" ]	[]	[]	[]
InfoVis	2,011	Parallel Edge Splatting for Scalable Dynamic Graph Visualization	10.1109/TVCG.2011.226	We present a novel dynamic graph visualization technique based on node-link diagrams. The graphs are drawn side-byside from left to right as a sequence of narrow stripes that are placed perpendicular to the horizontal time line. The hierarchically organized vertices of the graphs are arranged on vertical, parallel line...	false	false	[ "Michael Burch", "Corinna Vehlow", "Fabian Beck 0001", "Stephan Diehl 0001", "Daniel Weiskopf" ]	[]	[]	[]
InfoVis	2,011	Product Plots	10.1109/TVCG.2011.227	We propose a new framework for visualising tables of counts, proportions and probabilities. We call our framework product plots, alluding to the computation of area as a product of height and width, and the statistical concept of generating a joint distribution from the product of conditional and marginal distributions...	false	false	[ "Hadley Wickham", "Heike Hofmann" ]	[]	[]	[]
InfoVis	2,011	Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization	10.1109/TVCG.2011.229	In this paper, we present a systematization of techniques that use quality metrics to help in the visual exploration of meaningful patterns in high-dimensional data. In a number of recent papers, different quality metrics are proposed to automate the demanding search through large spaces of alternative visualizations (...	false	false	[ "Enrico Bertini", "Andrada Tatu", "Daniel A. Keim" ]	[]	[]	[]
InfoVis	2,011	Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization	10.1109/TVCG.2011.232	In this paper, we introduce overview visualization tools for large-scale multiple genome alignment data. Genome alignment visualization and, more generally, sequence alignment visualization are an important tool for understanding genomic sequence data. As sequencing techniques improve and more data become available, gr...	false	false	[ "Danielle Albers Szafir", "Colin N. Dewey", "Michael Gleicher" ]	[]	[]	[]
InfoVis	2,011	Skeleton-Based Edge Bundling for Graph Visualization	10.1109/TVCG.2011.233	In this paper, we present a novel approach for constructing bundled layouts of general graphs. As layout cues for bundles, we use medial axes, or skeletons, of edges which are similar in terms of position information. We combine edge clustering, distance fields, and 2D skeletonization to construct progressively bundled...	false	false	[ "Ozan Ersoy", "Christophe Hurter", "Fernando Vieira Paulovich", "Gabriel Cantareiro", "Alexandru C. Telea" ]	[]	[]	[]
InfoVis	2,011	Stereoscopic Highlighting: 2D Graph Visualization on Stereo Displays	10.1109/TVCG.2011.234	In this paper we present a new technique and prototype graph visualization system, stereoscopic highlighting, to help answer accessibility and adjacency queries when interacting with a node-link diagram. Our technique utilizes stereoscopic depth to highlight regions of interest in a 2D graph by projecting these parts o...	false	false	[ "Basak Alper", "Tobias Höllerer", "JoAnn Kuchera-Morin", "Angus G. Forbes" ]	[]	[]	[]

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