Open AccessThe large‐scale structure of journal citation networks
Author(s) -
Franceschet Massimo
Publication year - 2012
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.22608
Subject(s) - citation , reciprocal , computer science , reciprocity (cultural anthropology) , node (physics) , robustness (evolution) , statistical physics , data science , theoretical computer science , physics , sociology , world wide web , philosophy , social science , linguistics , biochemistry , chemistry , quantum mechanics , gene
We analyze the large‐scale structure of the journal citation network built from information contained in the T homson‐ R euters J ournal C itation R eports . 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 outdegree node distributions display long tails, with few vital journals and many trivial ones, and they are strongly positively correlated.