Cascading Citation Indexing in Action

Abstract

In this paper we apply the Cascading Citation Indexing Framework (c2IF) algorithm and on real-world data and discuss the results obtained. Given a collection of articles and their bibliographic associations (references), the algorithm considers citations at the article level. A relational database management system (RDBMS) is utilized, both for the representation of the citation graph and for the storage of the results. For a given positive integer value k, the algorithm computes for each one article all the 1-gen, 2- gen, …, k-gen citations (Reference: ASIS&T article). In addition, the algorithm identifies the self-citations and the cycles present in the citations graph. Finally, it constructs a citation standings table per each one article considered. To test our approach, we utilize six years of citations data (1999-2005) from the ISI Science Citation Index Expanded (ISI SCIE) made available from Thomson Scientific along the lines of the Cascading Citations Analysis Project (C-CAP, http://www.ccapnet.org/ccap/).