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Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009)
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- Abstract
- This paper studies how varied damping factors in the PageRank algorithm influence the ranking of authors and proposes weighted PageRank algorithms. We selected the 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculated the ranks of these 108 authors based on PageRank with the damping factor ranging from 0.05 to 0.95. In order to test the relationship between different measures, we compared PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centrality measures but does significantly correlate with other measures. The key factors that have impact on the PageRank of authors in the author co-citation network are being co-cited with important authors.
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Herring, S.D.: ¬The value of interdisciplinarity : a study based on the design of Internet search engines (1999)
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- Abstract
- Continued development of the Internet requires the development of efficient, easy-to-use search engines. Ideally, such development should call upon knowledge and skills from a variety of disciplines, including computer science, information science, psychology, and ergonomics. The current study is intended to determine whether search engines shows a pattern of interdisciplinarity. 2 disciplines were selected as the focus for the study: computer science, and library/information science. A citation analysis was conducted to measure levels of interdisciplinary research and publishing in Internet search engine design and development. The results show a higher level of interdisciplinarity among library and information scientists than among computer scientists or among any of those categorized as 'other'. This is reflected both in the types of journals in which the authors publish, and in the references they cite to support their work. However, almost no authors published articles or cited references in fields such as cognitive science, ergonomics, or psychology. The results of this study are analyzed in terms of the writings of Patrick Wilson, Bruno Latour, Pierre Bordieu, Fritz Ringer, and Thomas Pinelli, focusing on cognitive authority within a profession, interaction between disciplines, and information-gathering habits of professionals. Suggestions for further research are given
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Cheng, S.; YunTao, P.; JunPeng, Y.; Hong, G.; ZhengLu, Y.; ZhiYu, H.: PageRank, HITS and impact factor for journal ranking (2009)
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- 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.
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Bar-Ilan, J.: On the overlap, the precision and estimated recall of search engines : a case study of the query 'Erdös' (1998)
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