Ranking Algorithms For Web Sites: Finding Authoritative Academic Web Sites and Researchers

Ranking Algorithms For Web Sites: Finding Authoritative Academic Web Sites and Researchers

In this paper, we discuss several common ranking algorithms for Web pages and we present a methodology based on them for finding authoritative researchers by analyzing academic Web sites. We show a case study in which we concentrate on a set of French computer science departmentsÔÇÖ Web sites. We analyze the relations between them via hyperlinks and find the most important ones. We then examine the contents of the research papers present on these sites and determine the most authoritative French authors. We also propose some future improvements.

You can find the paper on the publisher's website.

Keywords: Authorities, citation analysis, prestige, ranking algorithms, Web mining

Year: 2007

Download: download Full text [46 kB]
View record in Web of Science®

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.

Fran├žois Rousselot


E-mail: francois.rousselot@insa-strasbourg.fr

Fran├žois is interested in knowledge acquisition and computational linguistics.

Karel Je┼żek


Phone:  +420 377632475
E-mail: jezek_ka@kiv.zcu.cz
WWW: https://cs.wikipedia.org/wiki/Karel_Je%C5%BEek_(informatik)

Karel is the former group coordinator and a supervisor of PhD students working at research projects of this Group.

Related Projects:


Project

Social Networks Analysis

Authors:  Karel Je┼żek, 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.