Title
The large-scale structure of journal citation networks
Abstract
We analyze the large-scale structure of the journal citation network built from information contained in the Thomson-Reuters Journal Citation Reports. To this end, we explore network properties such as density, percolation robustness, average and largest node distances, reciprocity, incoming and outgoing degree distributions, and assortative mixing by node degrees. We discover that the journal citation network is a dense, robust, small, and reciprocal world. Furthermore, in- and out-degree node distributions display long tails, with few vital journals and many trivial ones, and they are strongly positively correlated.
Year
DOI
Venue
2012
10.1002/asi.22608
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Keywords
DocType
Volume
digital library,bibliometrics,degree distribution,long tail
Journal
63
Issue
ISSN
Citations 
4
1532-2882
10
PageRank 
References 
Authors
0.56
8
1
Name
Order
Citations
PageRank
Massimo Franceschet165839.91