Abstract
Tree of Science (ToS) is a web-based tool which uses the network structure of paper citation to identify relevant literature. ToS shows the information in the form of a tree, where the articles located in the roots are the classics, in the trunk are the structural publications, and leaves are the most current papers. It has been found that some results in the leaves can be separated from the tree. Therefore, an algorithm (SAP) is proposed, in order to improve results in the leaves. Two improvements are presented: articles located in the leaves are from the last five years, and they are connected to root and trunk articles through their citations. This improvement facilitates construction of current literature for researchers.
Highlights
Tree of Science (ToS) is a web-based tool that uses graph algorithms to optimize the search and selection of published papers
ToS was created at Universidad Nacional de Colombia (Robledo et al, Osorio-Zuluaga, and López-Espinosa, 2014), and the algorithm is explained elsewhere (Zuluaga et al, 2016)
Derek J. de Solla Price (1963), known as the father of scientometrics, formulated Price’s Law, which explains that 25% of scientific authors are responsible for 75% of published articles
Summary
Tree of Science (ToS) is a web-based tool that uses graph algorithms to optimize the search and selection of published papers. Derek J. de Solla Price (1963), known as the father of scientometrics, formulated Price’s Law, which explains that 25% of scientific authors are responsible for 75% of published articles (preferential attraction model) Another important initial contribution in this field was the h-index (Garfield, 1972; Hirsch, 2005), which measures the impact of papers and is well known in the scientific community nowadays. Scientometrics have evolved in the last few years, one of the main challenges is to find accurate methods for the characterization of a scientific area (Koseoglu, Sehitoglu, and Craft, 2015) For this reason, various researchers have proposed other indexes to determine the impact of publications. The SAP algorithm is applied to create a graph of citation analysis about Word-of-Mouth Marketing, in order to compare it with the current ToS results.
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