Summary
| Description | This figure illustrates the basic co-citation measure used for document similarity computation on the left and a more recent refinement of co-citation, termed Co-citation Proximity Analysis (CPA) on the right. Co-citation is a similarity measure for documents used in the field of bibliometrics. |
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| Author or copyright owner |
Bela Gipp and Joeran Beel |
| Source (WP:NFCC#4) | B. Gipp and J. Beel, “Citation Proximity Analysis (CPA) – A new approach for identifying related work based on Co-Citation Analysis,” in Proceedings of the 12th international conference on scientometrics and informetrics (issi’09), Rio de Janeiro (Brazil), 2009, pp. 571-575. Available at: http://gipp.com/wp-content/papercite-data/pdf/gipp09a.pdf |
| Date of publication | 2009 |
| Use in article (WP:NFCC#7) | co-citation |
| 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. This image is used here only to better illustrate the concept of "co-citation" and a more recent variation thereof. |
| Respect for commercial opportunities (WP:NFCC#2) |
n.a. |
| Other information | Fair use true |
| Fair useFair use of copyrighted material in the context of co-citation//en.wikipedia.org/wiki/File:Visualization_of_co-citation_analysis_methods.pngtrue | |
Licensing
Fair use
true