Algorithms to solve the lack of normalization in author names in bibliometric studies

TWO ALGORITHMS TO DETECT AND SOLVE NORMALIZATION PROB­LEMS OF AUTHOR NAMES IN DATA ORIGINATED IN THOMSON'S ISI SCIENCE CITATION INDEX ARE PRESENTED. THE FIRST ALGO­RITHM ALLOWS DETECTION OF DIFFERENT NAMES WHICH COULD BELONG TO THE SAME PERSON. THE SECOND ONE, BASED ON THE DEGREE OF SIMILARITY...

Descripción completa

Detalles Bibliográficos
Autores principales: COSTAS, RODRIGO, BORDONS, MARIA
Formato: Online Artículo
Lenguaje:spa
Publicado: Instituto de Investigaciones Bibliotecológicas y de la Información 2007
Materias:
AUTHOR NAME NORMALIZATION
SCIENCE CITATION INDEX
THOMSON ISI
ALGORITHMS
NAME VARIATIONS
NORMALIZACIÓN DE NOMBRES DE AUTORES
BASES DE DATOS
ALGORITMOS
VARIANTES DE FIRMA
Acceso en línea:http://rev-ib.unam.mx/ib/index.php/ib/article/view/4115
https://dx.doi.org/10.22201/iibi.0187358xp.2007.42.4115
Descripción
Sumario:TWO ALGORITHMS TO DETECT AND SOLVE NORMALIZATION PROB­LEMS OF AUTHOR NAMES IN DATA ORIGINATED IN THOMSON'S ISI SCIENCE CITATION INDEX ARE PRESENTED. THE FIRST ALGO­RITHM ALLOWS DETECTION OF DIFFERENT NAMES WHICH COULD BELONG TO THE SAME PERSON. THE SECOND ONE, BASED ON THE DEGREE OF SIMILARITY BETWEEN TWO VARIANTS OF THE SAME NAME ON A DOCUMENT, HELPS TO DETERMINE WHETHER TWO SIMILAR NAMES CORRESPOND OR NOT TO THE SAME PER­SON. IN ORDER TO DETERMINE THE EFFICACY OF THE ALGORITHMS, A CONTROL OF NORMALIZED AUTHOR DATA FROM A PREVIOUS STUDY HAS BEEN USED. THE FIRST ALGORITHM DETECTS 67% OF NAME VARIANTS EXISTING IN THE POPULATION UNDER STUDY, AND THE SECOND ONE WAS SUCCESSFUL IN 74% OF THE CASES.

Ejemplares similares