Article ID Journal Published Year Pages File Type
5071651 Games and Economic Behavior 2015 13 Pages PDF
Abstract
We propose a novel approach to generating a ranking of items in a network (e.g., of web pages connected by links or of articles connected by citations). We transform the network into an exchange economy, and use the resulting competitive equilibrium prices of the network nodes as their ranking. The widely used Google's PageRank comes as a special case when the nodes are represented by Cobb-Douglas utility maximizers. We further use the economic metaphor to combine between the Citation Count and PageRank by imposing a redistributive taxing scheme.
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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