Fourth Fifth International Conference on Science and Technology Metrics (STMet 2024)
 

 

80/20 Law in Information Production Processes: Is there a need for a new indicator or a new law?
Hiran H. Lathabai, Solanki Gupta, Rakhi Mohan, Vivek Kumar Singh
Amrita-CREATE, Amrita Vishwa Vidyapeetham, Amritapuri-690525, Kerala, India., Department of Computer Science, Banaras Hindu University, Varanasi-221005, India ., School of Engineering & Technology, KR Mangalam University, Gurugram-122103, India ., Governm
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.
Keywords: 80/20 law, Information Production Processes (IPPs), Skewness, h-type indicators 80/20 Law in Information Production Processes: Is there a need for a new indicator or a new law?
DOI:https://doi.org/10.6025/stm/2024/5/204-213
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References:


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