DocumentCode
168443
Title
Where should I publish? Detecting journal similarity based on what have been published there
Author
Koopman, Rob ; Shenghui Wang
Author_Institution
OCLC Res., Leiden, Netherlands
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
483
Lastpage
484
Abstract
Finding similar journals within a large amount of existing ones is not a trivial task. Based on the hypothesis that similar journals publish similar articles, we propose in this paper a scalable method based on random projection to calculate the similarities between 35K journals based on 67 millions articles published with them. We evaluate our results against Dewey Decimal codes and analyse the networks of similar journals.
Keywords
electronic publishing; network theory (graphs); Dewey decimal codes; journal similarity; random projection; scalable method; Abstracts; Communities; Corrosion; History; Joining processes; Sparse matrices; Vectors; Network analysis; Random projection; Similarity measures;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
Conference_Location
London
Type
conf
DOI
10.1109/JCDL.2014.6970236
Filename
6970236
Link To Document