Mathematical models for academic webs: Linear relationship or non-linear power law?
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Previous studies of academic web interlinking have tended to hypothesise that the relationship between the research of a university and links to or from its web site should follow a linear trend, yet the typical distribution of web data, in general, seems to be a non-linear power law. This paper assesses whether a linear trend or a power law is the most appropriate method with which to model the relationship between research and web site size or outlinks. Following linear regression, analysis of the confidence intervals for the logarithmic graphs, and analysis of the outliers, the results suggest that a linear trend is more appropriate than a non-linear power law.
论文关键词:Web links,Academic webs,Linking models,Linear relation,Non-linear power law
论文评审过程:Received 27 September 2004, Accepted 3 March 2005, Available online 20 April 2005.
论文官网地址:https://doi.org/10.1016/j.ipm.2005.03.005