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                            [identifier] => oai:ojs2.awari.pro-metrics.org:article/78
                            [datestamp] => 2025-07-01T17:47:54Z
                            [setSpec] => a:ART
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                                (
                                    [title] => Array
                                        (
                                            [0] => Ancestral water management: An analysis of scientific output using bibliometrics and graph theory
                                            [1] => Manejo ancestral del agua: un análisis de su producción científica mediante la bibliometría y la teoría de grafos
                                        )

                                    [creator] => Array
                                        (
                                            [0] => Nieto Gómez, Libia Esperanza
                                            [1] => Giraldo Díaz, Reinaldo
                                        )

                                    [subject] => Array
                                        (
                                            [0] => hidrotecnologías ancestrales
                                            [1] => manejo ancestral del agua
                                            [2] => sostenibilidad
                                            [3] => abastecimiento de agua
                                            [4] => análisis bibliométrico
                                            [5] => teoría de grafos
                                            [6] => ancestral water technologies
                                            [7] => ancestral water management
                                            [8] => sustainability
                                            [9] => water supply
                                            [10] => bibliometric analysis
                                            [11] => graph theory
                                        )

                                    [description] => Array
                                        (
                                            [0] => The study aimed to examine, using graph theory and bibliometric analysis, scientific output related to ancestral water management. The methodological development comprised two phases. The initial phase entailed the scientific mapping of the area under investigation through a bibliometric analysis of scientific output recorded in Scopus and Web of Science. The subsequent phase entailed a network analysis, which facilitated the identification of the most salient documents concerning ancestral water management and the delineation of the predominant perspectives that currently inform research in this domain. The results indicated that 43% of the research conducted in this field published in the last 5 years. A review of scientific output by country revealed that the United States and China were leading nations in scientific production. The concept of co-occurrence networks substantiated the correlation between an adequate water supply and its effective management, as well as the sustainability of water resources, soil, irrigation, and, consequently, agricultural crops. The network analysis yielded two perspectives that merited further investigation in future research: firstly, the experiences and lessons from ancient cultures’ water management that were relevant to the present, and secondly, the structures and use of raw materials in ancestral hydrotechnologies. The potential for future research on ancestral water management was considerable, particularly in terms of articulating lessons learned from the past and current concerns.
                                            [1] => 
El objetivo de la presente investigación fue examinar, mediante la teoría de grafos y el análisis bibliométrico, la producción científica relacionada con la gestión ancestral del agua. El desarrollo metodológico constó de dos fases. La primera fase consistió en un mapeo científico del área mediante un análisis bibliométrico de la producción científica registrada en Scopus y Web of Science. La segunda fase consistió en un análisis de red que permitió establecer los documentos más destacados sobre el manejo ancestral del agua, así como determinar las principales perspectivas en las que se enmarcan las investigaciones actuales en este campo. Los resultados evidencian que en los últimos cinco años se ha publicado el 43 % de las investigaciones realizadas en este campo. La producción científica por países muestra que Estados Unidos y China lideran la producción científica. La red de coocurrencia de palabras confirma la relación entre un suministro y manejo adecuados del agua y la sostenibilidad del recurso hídrico, del suelo, del riego y, por ende, de los cultivos agrícolas. El análisis de la red ha arrojado dos perspectivas de interés para futuras investigaciones: 1) experiencias y lecciones del manejo del agua de las culturas antiguas para el presente, y 2) estructuras y uso de materias primas en las hidrotecnologías ancestrales. Las perspectivas para futuras investigaciones sobre el manejo ancestral del agua son numerosas, en especial aquellas que articulan las lecciones aprendidas del pasado y las preocupaciones actuales. 

                                        )

                                    [publisher] => Pro-Metrics
                                    [date] => 2025-06-12
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
                                        )

                                    [format] => Array
                                        (
                                            [0] => application/pdf
                                            [1] => application/pdf
                                        )

                                    [identifier] => Array
                                        (
                                            [0] => https://awari.pro-metrics.org/index.php/a/article/view/78
                                            [1] => 10.47909/awari.781
                                        )

                                    [source] => Array
                                        (
                                            [0] => AWARI; Vol. 6 (2025): AWARI; 1-19
                                            [1] => 2675-522X
                                        )

                                    [language] => Array
                                        (
                                            [0] => eng
                                            [1] => spa
                                        )

                                    [relation] => Array
                                        (
                                            [0] => https://awari.pro-metrics.org/index.php/a/article/view/78/93
                                            [1] => https://awari.pro-metrics.org/index.php/a/article/view/78/94
                                        )

                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2025 Libia Esperanza Nieto Gómez, Reinaldo Giraldo Díaz
                                            [1] => https://creativecommons.org/licenses/by-nc/4.0
                                        )

                                )

                        )

                )

        )

)