Component Study of Co -Word Analysis

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Library and Information Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• He, Qin

Contributors dc:contributor

• Smith, Linda C.

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3017095

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81522