“Sources of information on specific subjects”
Journal of Information Science - Lecture notes in computer science, No. 207
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Weak information work in scientific discovery
Information Processing and Management: an International Journal
Information seeking behavior of academic scientists
Journal of the American Society for Information Science and Technology
Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
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Citation chasing, the pursuit of references from one publication to another, is a popular technique among researchers for retrieving relevant and related literature. While a focused and precise method, citation chasing may be incomplete and unstable. Different choices of paths can lead to different sets of literature and generate inconsistent search results. Revealing the linkages among references would guide citation chasing as well as improve and stabilize the results since it enables researchers to develop search strategies. In this paper we use network analysis to examine the connections among papers cited as references, identifying and investigating papers with high authority and hub values. We construct local citation networks, introducing the firework visualization model to support citation chasing. We further introduce an interactive browser, designed to provide direct manipulation of references and aggregated summaries of retrieved results. The proposed firework model allows users to intuitively browse a local citation network and find relevant documents efficiently.