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Title:Component Study of Co -Word Analysis
Author(s):He, Qin
Doctoral Committee Chair(s):Smith, Linda C.
Department / Program:Library and Information Science
Discipline:Library and Information Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
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.
Issue Date:2001
Type:Text
Language:English
Description:204 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
URI:http://hdl.handle.net/2142/81522
Other Identifier(s):(MiAaPQ)AAI3017095
Date Available in IDEALS:2015-09-25
Date Deposited:2001


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