An algorithm for drawing general undirected graphs
Information Processing Letters
Semantic relationships between cited and citing articles in library and information science journals
Journal of the American Society for Information Science
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
Journal of the American Society for Information Science and Technology
Paradigms, citations, and maps of science: a personal history
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Comparative study on methods of detecting research fronts using different types of citation
Journal of the American Society for Information Science and Technology
Journal of Information Science
Indices of novelty for emerging topic detection
Information Processing and Management: an International Journal
Predictive effects of structural variation on citation counts
Journal of the American Society for Information Science and Technology
Link prediction in citation networks
Journal of the American Society for Information Science and Technology
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In this article, we investigated the factors determining the capability of academic articles to be cited in the future using a topological analysis of citation networks. The basic idea is that articles that will have many citations were in a “similar” position topologically in the past. To validate this hypothesis, we investigated the correlation between future times cited and three measures of centrality: clustering centrality, closeness centrality, and betweenness centrality. We also analyzed the effect of aging as well as of self-correlation of times cited. Case studies were performed in the two following recent representative innovations: Gallium Nitride and Complex Networks. The results suggest that times cited is the main factor in explaining the near future times cited, and betweenness centrality is correlated with the distant future times cited. The effect of topological position on the capability to be cited is influenced by the migrating phenomenon in which the activated center of research shifts from an existing domain to a new emerging domain. © 2007 Wiley Periodicals, Inc.