Extracting information from CiteSeer’s textual data

Extracting information from CiteSeer’s textual data

This article deals with CiteSeer, a free online digital library and search engine of mainly computer science research papers. First, it discusses CiteSeer’s features and structure and then it presents what useful information on publications and author collaborations can be extracted from its textual data. We show the basic properties of both the publication citation and author citation graph. Moreover, several parameters based on the structure of the collaboration graph of authors are discussed and their main statistical properties are shown.
The available full text is a preprint of the article.

Keywords: CiteSeer, publications, citations, researchers, collaboration.

Year: 2013

Journal ISSN: 1992-8645
Download: download Full text [304 kB]

Authors of this publication:

Dalibor Fiala

Phone: +420 377 63 2429
E-mail: dalfia@kiv.zcu.cz
WWW: http://www.kiv.zcu.cz/~dalfia/

Dalibor is the research group coordinator and an associate professor at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in data mining, web mining, information retrieval, informetrics, and information science.

Related Projects:


Social Networks Analysis

Authors:  Karel JeŇĺek, Dalibor Fiala, Michal Nykl
Desc.:Application of the PageRank algorithm and its modifications to the exploration of network structures, particularly citation and co-autorship networks.