title: Mapping subsets of scholarly information.
abstract: We illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its practitioners.
authors.affiliation: Cornell University, Ithaca, NY 14853, USA. ginsparg@cornell.edu
authors.forename: Paul
authors.initials: P
authors.lastname: Ginsparg
authors.forename: Paul
authors.initials: P
authors.lastname: Houle
authors.forename: Thorsten
authors.initials: T
authors.lastname: Joachims
authors.forename: Jae-Hoon
authors.initials: JH
authors.lastname: Sul
mesh_terms: D003201:Computers; D020407:Internet; D010506:Periodicals as Topic; D012586:Science; D013358:Subject Headings; D014481:United States