Document (#39514)

Author

Cheng, S.
YunTao, P.
JunPeng, Y.
Hong, G.
ZhengLu, Y.
ZhiYu, H.

Title

PageRank, HITS and impact factor for journal ranking

Source

Proceeding CSIE '09: Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 06

Imprint

Washington, DC : IEEE Computer Society

Year

2009

Pages

S.285-290

Abstract

Journal citation measures are one of the most widely used bibliometric tools. The most well-known measure is the ISI Impact Factor, under the standard definition, the impact factor of journal j in a given year is the average number of citations received by papers published in the previous two years of journal j. However, the impact factor has its "intrinsic" limitations, it is a ranking measure based fundamentally on a pure counting of the in-degrees of nodes in the network, and its calculation does not take into account the "impact" or "prestige" of the journals in which the citations appear. Google's PageRank algorithm and Kleinberg's HITS method are webpage ranking algorithm, they compute the scores of webpages based on a combination of the number of hyperlinks that point to the page and the status of pages that the hyperlinks originate from, a page is important if it is pointed to by other important pages. We demonstrate how popular webpage algorithm PageRank and HITS can be used ranking journal, and we compared ISI impact factor, PageRank and HITS for journal ranking, and with PageRank and HITS compute respectively including self-citation and non self-citation, and discussed the merit and shortcomings and the scope of application that the various algorithms are used to rank journal.

Content

Vgl.: DOI: 10.1109/CSIE.2009.351.

Theme

Suchmaschinen
Informetrie

Object

PageRank
HITS

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5. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.31

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