Lynn Chien, A. Tat, Pascale Proulx, A. Khamisa, W. Wright
{"title":"Grand challenge award 2008: Support for diverse analytic techniques - nSpace2 and GeoTime visual analytics","authors":"Lynn Chien, A. Tat, Pascale Proulx, A. Khamisa, W. Wright","doi":"10.1109/VAST.2008.4677385","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677385","url":null,"abstract":"GeoTime and nSpace2 are interactive visual analytics tools that were used to examine and interpret all four of the 2008 VAST Challenge datasets. GeoTime excels in visualizing event patterns in time and space, or in time and any abstract landscape, while nSpace2 is a web-based analytical tool designed to support every step of the analytical process. nSpace2 is an integrating analytic environment. This paper highlights the VAST analytical experience with these tools that contributed to the success of these tools and this team for the third consecutive year.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132202614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An information visualisation system for the understanding of web data","authors":"Victor Pascual-Cid","doi":"10.1109/VAST.2008.4677377","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677377","url":null,"abstract":"Internet has become one of the best communication and marketing tools. Hence, designing well-structured Web sites with the information or products that users look for is a crucial mission. For this reason, understanding Web data is a decisive task to assure the success of a Website. In that sense, data mining techniques provide many metrics and statistics useful to automatically discover the structure, contents and usage of a site. This research aims at proving the usefulness of a set of information visualisation techniques in order to analyse Web data, using a visual Web mining tool that allows the combination, coordination and exploration of visualisations to get insight on Web data. The tool, named WET, provides a set of visual metaphors that represent the structure of the Websites where Web metrics are overlaid.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"81 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131873974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cell phone Mini Challenge: Node-link animation award animating multivariate dynamic social networks","authors":"Michael Farrugia, A. Quigley","doi":"10.1109/VAST.2008.4677393","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677393","url":null,"abstract":"This article describes the visualization tool developed for analysing a dynamic social network of phone calls, for the VAST 2008 mini challenge. The tool was designed to highlight temporal changes in the network, by animating different network visual representations. We also explain how animating these network representations, helped to identify key events in the mini challenge problem scenario. Finally, we make some suggestions for future research and development in the area.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123881698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A compound approach for interactive visualization of time-oriented data","authors":"T. Lammarsch","doi":"10.1109/VAST.2008.4677374","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677374","url":null,"abstract":"Many real-world visual analytics applications involve time-oriented data. I am working in a research project related to this challenge where I am responsible for the interactive visualization part. My goal are interactive visualizations to explore such time-oriented data according to the user tasks while considering the structure of time. Time is composed of many granularities that are likely to have crucial influence on the formation of the data. The challenge is to integrate the granularities into a detailed compound view on the data, like the compound eye of insects integrates many images into one view. Other members of our team are experts in temporal data mining and user centered design. The goal is to combine our research topics to an integrated system that helps domain experts to get more insight from their time-oriented data.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"481 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Ye, Tian Zhu, Deyong Hu, Bin Wu, Nan Du, Bai Wang
{"title":"Cell phone mini challenge award: Social network accuracy— exploring temporal communication in mobile call graphs","authors":"Qi Ye, Tian Zhu, Deyong Hu, Bin Wu, Nan Du, Bai Wang","doi":"10.1109/VAST.2008.4677389","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677389","url":null,"abstract":"In the mobile call mini challenge of VAST 2008 contest, we explored the temporal communication patterns of Catalano/Vidro social network which is reflected in the mobile call data. We focus on detecting the hierarchy of the social network and try to get the important actors in it. We present our tools and methods in this summary. By using the visual analytic approaches, we can find out not only the temporal communication patterns in the social network but also the hierarchy of it.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Entity-based collaboration tools for intelligence analysis","authors":"E. Bier, S. Card, J. W. Bodnar","doi":"10.1109/VAST.2008.4677362","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677362","url":null,"abstract":"Software tools that make it easier for analysts to collaborate as a natural part of their work will lead to better analysis that is informed by more perspectives. We are interested to know if software tools can be designed that support collaboration even as they allow analysts to find documents and organize information (including evidence, schemas, and hypotheses). We have modified the Entity Workspace system, described previously, to test such designs. We have evaluated the resulting design in both a laboratory study and a study where it is situated with an analysis team. In both cases, effects on collaboration appear to be positive. Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence that emphasizes events and documents (rather than emphasizing the entity graph), and a notification system that finds entities of mutual interest to multiple analysts.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134443416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evacuation trace Mini Challenge award: Tool integration analysis of movements with Geospatial Visual Analytics Toolkit","authors":"N. Andrienko, G. Andrienko","doi":"10.1109/VAST.2008.4677388","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677388","url":null,"abstract":"The Geospatial Visual Analytics Toolkit intended for exploratory analysis of spatial and spatio-temporal data has been recently enriched with specific visual and computational techniques supporting analysis of data about movement. We applied these and other techniques to the data and tasks of Mini Challenge 4, where it was necessary to analyze tracks of moving people.CR Categories and Subject Descriptors: H.1.2 [User/Machine Systems]: Human information processing - Visual Analytics; 1.6.9 [Visualization]: information visualization.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133273387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applied visual analytics for economic decision-making","authors":"Anya Samak, Ross Maciejewski, D. Ebert","doi":"10.1109/VAST.2008.4677363","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677363","url":null,"abstract":"This paper introduces the application of visual analytics techniques as a novel approach for improving economic decision making. Particularly, we focus on two known problems where subjectspsila behavior consistently deviates from the optimal, the Winnerpsilas and Loserpsilas Curse. According to economists, subjects fail to recognize the profit-maximizing decision strategy in both the Winnerpsilas and Loserpsilas curse because they are unable to properly consider all the available information. As such, we have created a visual analytics tool to aid subjects in decision making under the Acquiring a Company framework common in many economic experiments. We demonstrate the added value of visual analytics in the decision making process through a series of user studies comparing standard visualization methods with interactive visual analytics techniques. Our work presents not only a basis for development and evaluation of economic visual analytic research, but also empirical evidence demonstrating the added value of applying visual analytics to general decision making tasks.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123775898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danyel Fisher, Aaron Hoff, G. Robertson, Matthew F. Hurst
{"title":"Narratives: A visualization to track narrative events as they develop","authors":"Danyel Fisher, Aaron Hoff, G. Robertson, Matthew F. Hurst","doi":"10.1109/VAST.2008.4677364","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677364","url":null,"abstract":"Analyzing unstructured text streams can be challenging. One popular approach is to isolate specific themes in the text, and to visualize the connections between them. Some existing systems, like ThemeRiver, provide a temporal view of changes in themes; other systems, like In-Spire, use clustering techniques to help an analyst identify the themes at a single point in time. Narratives combines both of these techniques; it uses a temporal axis to visualize ways that concepts have changed over time, and introduces several methods to explore how those concepts relate to each other. Narratives is designed to help the user place news stories in their historical and social context by understanding how the major topics associated with them have changed over time. Users can relate articles through time by examining the topical keywords that summarize a specific news event. By tracking the attention to a news article in the form of references in social media (such as weblogs), a user discovers both important events and measures the social relevance of these stories.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116784065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Grinstein, C. Plaisant, S. Laskowski, T. O'Connell, J. Scholtz, M. Whiting
{"title":"VAST 2008 Challenge: Introducing mini-challenges","authors":"G. Grinstein, C. Plaisant, S. Laskowski, T. O'Connell, J. Scholtz, M. Whiting","doi":"10.1109/VAST.2008.4677383","DOIUrl":"https://doi.org/10.1109/VAST.2008.4677383","url":null,"abstract":"Visual analytics experts realize that one effective way to push the field forward and to develop metrics for measuring the performance of various visual analytics components is to hold an annual competition. The VAST 2008 Challenge is the third year that such a competition was held in conjunction with the IEEE Visual Analytics Science and Technology (VAST) symposium. The authors restructured the contest format used in 2006 and 2007 to reduce the barriers to participation and offered four mini-challenges and a Grand Challenge. Mini Challenge participants were to use visual analytic tools to explore one of four heterogeneous data collections to analyze specific activities of a fictitious, controversial movement. Questions asked in the Grand Challenge required the participants to synthesize data from all four data sets. In this paper we give a brief overview of the data sets, the tasks, the participation, the judging, and the results.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128532734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}