Published

2020-01-01

SAP Algorithm for Citation Analysis: An improvement to Tree of Science

Algoritmo SAP para análisis de citaciones: Una mejora al Árbol de la Ciencia

Keywords:

Tree of Science, SAP, Algorithm, Citation analysis (en)
Tree of Science, SAP, Algotirmo, Análsis de citaciones (es)

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Authors

  • Daniel Stiven Valencia-Hernandez Universidad Nacional de Colombia
  • Sebastian Robledo Universidad Católica Luis Amigó
  • Ricardo Pinilla Universidad Nacional de Colombia
  • Nestor Darío Duque-Méndez Universidad Nacional de Colombia https://orcid.org/0000-0002-8078-8525
  • Gerard Olivar-Tost Universidad Nacional de Colombia

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.

Tree of Science (ToS) es una herramienta web que usa la estructura de la red de citaciones para identificar literatura relevante. ToS muestra la información en forma de árbol, donde los artículos localizados en las raíces son los clásicos, en el tronco están las publicaciones estructurales y las hojas son los artículos más recientes. Se ha encontrado que algunos resultados de las hojas pueden ser separados del tema del árbol. Por lo tanto, se propone el algoritmo SAP para mejorar los resultados de las hojas. Se presentan dos mejoras: los artículos localizados en las hojas son de los últimos 5 años, y también, estos están conectados a la raíz y al tronco a través de sus citaciones. Esta mejora facilita la construcción de literatura actual a los investigadores.

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Copyright (c) 2020 Daniel Stiven Valencia-Hernandez, Sebastian Robledo, Ricardo Pinilla, Nestor Darío Duque-Méndez, Gerard Olivar-Tost

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