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 departments’ 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
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Full text [46 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.
François Rousselot
E-mail: francois.rousselot@insa-strasbourg.fr
François is interested in knowledge acquisition and computational linguistics.
Karel Ježek
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:
Social Networks Analysis | |
| Authors: | Karel Ježek, 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. |