ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
GeoTime Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Turning the Bucket of Text into a Pipe
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Importance-Driven Visualization Layouts for Large Time Series Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Visualizing the History of Living Spaces
IEEE Transactions on Visualization and Computer Graphics
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Near real time information mining in multilingual news
Proceedings of the 18th international conference on World wide web
NewsLab: Exploratory Broadcast News Video Analysis
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards an Aesthetic Dimensions Framework for Dynamic Graph Visualisations
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps
IEEE Transactions on Visualization and Computer Graphics
Visual analysis of dynamic data streams
Information Visualization
Drawing trees in a streaming model
GD'09 Proceedings of the 17th international conference on Graph Drawing
Lydia: a system for large-scale news analysis
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
Multi-resolution techniques for visual exploration of large time-series data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Novel data stream pattern mining report on the StreamKDD'10 workshop
ACM SIGKDD Explorations Newsletter
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The analysis of large quantities of news is an emerging area in the field of data analysis and visualization. International agencies collect thousands of news every day from a large number of sources and making sense of them is becoming increasingly complex due to the rate of the incoming news, as well as the inherent complexity of analyzing large quantities of evolving text corpora. Current visual techniques that deal with temporal evolution of such complex datasets, together with research efforts in related domains like text mining and topic detection and tracking, represent early attempts to understand, gain insight and make sense of these data. Despite these initial propositions, there is still a lack of techniques dealing directly with the problem of visualizing news streams in a "on-line" fashion, that is, in a way that the evolution of news can be monitored in real-time by the operator. In this paper we propose a purely visual technique that permits to see the evolution of news in real-time. The technique permits to show the stream of news as they enter into the system as well as a series of important threads which are computed on the fly. By merging single articles into threads, the technique permits to offload the visualization and retain only the most relevant information. The proposed technique is applied to the visualization of news streams generated by a news aggregation system that monitors over 4000 sites from 1600 key news portals world-wide and retrieves over 80000 reports per day in 43 languages.