80/20 Law in Information Production Processes: Is there a need for a new indicator or a new law?
Year: 2024
Type: conference-paper
Abstract: Information production processes (IPPs) like source-item systems possess several properties.Skewness is one property that makes indicators such as h-type indicators relevant for determining key sources that produced most items.Due to this skewness, the 80/20 rule (in which the top 80 per cent of items may be produced by the top 20 per cent of the sources) also is at play in IPPs.In this work, we investigate whether any of the major existing h-type indicators are capable of reflecting the 80/20 rule effectively.Also, can considering 20% of T (total publications) or 0.2T as an indicator provide a better alternative?Or is there room for a new indicator or perhaps a new law?These questions are answered in this work.
Authors: Hiran H. Lathabai, Solanki Gupta, Rakhi Mohan, Vivek Kumar Singh
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4405114280