File:Co-citation Proximity Analysis Concept.svg

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Summary

Media data and Non-free use rationale
Description	Documents B and C are cited in closer proximity to each other in the full-text of the citing document, when compared to document A. Hence, documents B and C are considered more strongly related according to co-citation proximity analysis.
Author or copyright owner	Bela Gipp and Joeran Beel
Source (WP:NFCC#4)	Bela Gipp and Joeran Beel. Citation Proximity Analysis (CPA) – A new approach for identifying related work based on Co-Citation Analysis. In Birger Larsen and Jacqueline Leta, editors, Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), volume 2, pages 571-575, Rio de Janeiro (Brazil), jul 2009. International Society for Scientometrics and Informetrics. ISSN 2175-1935. Available at http://gipp.com/wp-content/papercite-data/pdf/gipp09a.pdf
Date of publication	2009
Use in article (WP:NFCC#7)	Co-citation Proximity Analysis
Purpose of use in article (WP:NFCC#8)	For visual identification of the object of the article. The article as a whole is dedicated specifically to a discussion of this work.
Not replaceable with free media because (WP:NFCC#1)	n.a.
Minimal use (WP:NFCC#3)	Minimal use is given, since this drawing only serves to illustrate the concept of "co-citation proximity analysis"
Respect for commercial opportunities (WP:NFCC#2)	n.a.
Fair useFair use of copyrighted material in the context of Co-citation Proximity Analysishttps://enwiki.freddythechick.net/wiki/File:Co-citation_Proximity_Analysis_Concept.svgtrue

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Co-citation Proximity Analysis