We examine the problem of measuring influence based on the information contained in the data on the communications between scholarly publications, judicial decisions, patents, web pages, and other entities. The measurement of influence is useful to address several empirical questions such as reputation, prestige, aspects of the diffusion of knowledge, the markets for scientists and scientific publications, the dynamics of innovation, ranking algorithms of search engines in the World Wide Web, and others. In this paper we ask why any given methodology is reasonable and informative applying the axiomatic method. We find that a unique ranking method can be characterized by means of five axioms: anonymity, invariance to citation intensity, weak homogeneity, weak consistency, and invariance to splitting of journals. This method is easily implementable and turns out to be different from those regularly used in social and natural sciences, arts and humanities, and computer science.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Length: Date of creation: 26 Apr 2002 Date of revision: Publication status: Published in Econometrica, 72, (2004), 963-977. Handle: RePEc:nid:ovolij:015
Contact details of provider: Postal: Oscar Volij, Department of Economics, Ben-Gurion University, Beer-Sheva 84105, Israel Web page: http://volij.co.il/
Find related papers by JEL classification: A1 - General Economics and Teaching - - General Economics C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
This paper has been announced in the following NEP Reports:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Stigler, George J & Stigler, Stephen M & Friedland, Claire, 1995.
"The Journals of Economics,"
Journal of Political Economy,
University of Chicago Press, vol. 103(2), pages 331-59, April.
[Downloadable!] (restricted)
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Kóczy László Á. & Nichifor Alexandru & Strobel Martin, 2009.
"Article length bias in journal rankings,"
Research Memoranda
018, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
[Downloadable!]