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A comparison of self-organizing maps...

Buzydlowski, Jan William.

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A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors./
作者:	Buzydlowski, Jan William.
面頁冊數:	217 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-03, Section: A, page: 0705.
Contained By:	Dissertation Abstracts International64-03A.
標題:	Library Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3086401

A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors.
Buzydlowski, Jan William.

A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors. - 217 p.

Source: Dissertation Abstracts International, Volume: 64-03, Section: A, page: 0705.

Thesis (Ph.D.)--Drexel University, 2003.

Author co-citation analysis (ACA) is a methodology for determining the relationships between author pairs as specified by patterns of repeated co-citation. These patterns are visualized through computerized mapping techniques that now include self-organized maps or SOMs (also known as Kohonen feature maps) and Pathfinder networks (PFNETs).Subjects--Topical Terms:

881164
Library Science.

A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors.
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245 1 0 $a A comparison of self-organizing maps and pathfinder networks for the mapping of co-cited authors.
300 $a 217 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: A, page: 0705.
500 $a Adviser: Howard D. White.
502 $a Thesis (Ph.D.)--Drexel University, 2003.
520 $a Author co-citation analysis (ACA) is a methodology for determining the relationships between author pairs as specified by patterns of repeated co-citation. These patterns are visualized through computerized mapping techniques that now include self-organized maps or SOMs (also known as Kohonen feature maps) and Pathfinder networks (PFNETs).
520 $a In this research, ACA maps of authors in the humanities were produced as both SOMs and PFNETs using an experimental Web-based system called AuthorLink based on author co-citation data from the Arts & Humanities Citation Index for the years 1988–1997. The intent was to test how well each map type corresponded to a set of mental maps of experts, the “gold standard,” for the same authors. The mental maps were elicited from 20 experts in the humanities with card sorts.
520 $a The first research question was: How well do SOMs and PFNETs based on one famous author—here, Plato—correspond to the experts' <italic> combined</italic> mental map for that author? A Pearson correlation of the SOM with the mental map was compared to a Pearson correlation of the PFNET with the mental map. While <italic>both</italic> correlations proved highly significant (p < 0.001), the SOM's (r = 0.968) was significantly higher (p < 0.001) than the PFNET's (r = 0.783).
520 $a The second research question was: How well do SOMs and PFNETs based on personally chosen authors correspond to the experts' <italic>individual</italic> mental maps of these authors? Here, SOMs and PFNETS for 20 different authors were compared with the mental maps of those authors so as to produce difference scores for the two mapping techniques. These were analyzed through a paired-sample t-test. The 20 individual SOMs corresponded to the experts' mental maps better than the 20 individual PFNETs (p = 0.002).
520 $a The third research question was: Is one type of map, SOM or PFNET, preferred by experts? The 20 experts were statistically equal, 11 for the PFNET to 9 for the SOM. However, during interviews with the experts it was suggested that the two types are complementary and that both are needed to do a thorough exploration.
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790 1 0 $a White, Howard D., $e advisor
790 $a 0065
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3086401