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https://hdl.handle.net/2142/81522
Description
Title
Component Study of Co -Word Analysis
Author(s)
He, Qin
Issue Date
2001
Doctoral Committee Chair(s)
Smith, Linda C.
Department of Study
Library and Information Science
Discipline
Library and Information Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The results of human evaluation and statistical analyses show that both the strength index component and input term component affect the output from co-word analysis in significant ways. The resulting maps from the inclusion index test are much more general than those from the equivalence index. The test with title terms gives the most specific maps while the test with title and abstract terms gives the most favorable maps.
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