Temporal summaries of new topics
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Getting to more Abstract Places using the Metro Map Metaphor
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
A Recursive Greedy Algorithm for Walks in Directed Graphs
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Connecting the dots between news articles
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Atlas of Science: Visualizing What We Know
Atlas of Science: Visualizing What We Know
Evolutionary timeline summarization: a balanced optimization framework via iterative substitution
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Beyond keyword search: discovering relevant scientific literature
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Trains of thought: generating information maps
Proceedings of the 21st international conference on World Wide Web
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As the number of scientific publications soars, even the most enthusiastic reader can have trouble staying on top of the evolving literature. It is easy to focus on a narrow aspect of one's field and lose track of the big picture. Information overload is indeed a major challenge for scientists today, and is especially daunting for new investigators attempting to master a discipline and scientists who seek to cross disciplinary borders. In this paper, we propose metrics of influence, coverage and connectivity for scientific literature. We use these metrics to create structured summaries of information, which we call metro maps. Most importantly, metro maps explicitly show the relations between papers in a way which captures developments in the field. Pilot user studies demonstrate that our method helps researchers acquire new knowledge efficiently: map users achieved better precision and recall scores and found more seminal papers while performing fewer searches.