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    [0] => stdClass Object
        (
            [journal] => stdClass Object
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                    [id_jnl] => 88
                )

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    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 278
                )

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    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Social network analysis in virtual educational environments: Implications for collaborative learning and academic community development@en
                    [1] => Análisis de redes sociales en entornos educativos virtuales: implicaciones para el aprendizaje colaborativo y el desarrollo de la comunidad académica@es
                )

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    [3] => stdClass Object
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                (
                    [0] => This paper investigates the impact of Social Network Analysis (SNA) in optimizing virtual education, focusing on enhancing collaborative learning, strengthening virtual academic communities, and identifying challenges for educational innovation. Through SNA, patterns of interaction and collaboration are uncovered that inform the design of inclusive and dynamic educational practices. A theoretical review combining the benefits of bibliometric studies and documentary analysis was conducted. It highlights how ARS facilitates the identification of effective collaborative patterns and barriers to equal participation, promoting strategies for more meaningful collaboration. In addition, the role of ARS in consolidating academic communities by promoting cohesion, mutual support, and active engagement, crucial for student success and well-being, is discussed. Challenges such as forming subgroups and dependence on certain information nodes are analyzed, viewing them as opportunities to innovate in educational design and promote more equitable participation and knowledge construction. This analysis underscores the importance of ARS for developing more effective, equitable, and collaborative virtual learning environments aligned with the values of our digital society.@en
                    [1] => Este artículo investiga el impacto del Análisis de Redes Sociales (ARS) en optimizar la educación virtual, centrándose en mejorar el aprendizaje colaborativo, fortalecer comunidades académicas virtuales e identificar desafíos para la innovación educativa. A través del ARS, se descubren patrones de interacción y colaboración que informan el diseño de prácticas educativas inclusivas y dinámicas. Se llevó a cabo una revisión teórica que combina las bondades de estudios bibliométricos y análisis documental. Se destaca cómo el ARS facilita la identificación de patrones colaborativos efectivos y obstáculos para la participación igualitaria, promoviendo estrategias para una colaboración más significativa. Además, se discute el papel del ARS en consolidar comunidades académicas mediante la promoción de cohesión, apoyo mutuo y compromiso activo, cruciales para el éxito y bienestar estudiantil. Se analizan desafíos como la formación de subgrupos y la dependencia de ciertos nodos informativos, viéndolos como oportunidades para innovar en el diseño educativo y promover una participación y construcción del conocimiento más equitativas. Este análisis subraya la importancia del ARS para desarrollar entornos de aprendizaje virtual más efectivos, equitativos y colaborativos, alineados con los valores de nuestra sociedad digital.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Diego D. Díaz Guerra
                    [1] => Alfredo Javier Pérez Gamboa
                    [2] => Carlos Alberto Gómez Cano
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Social networks@en
                    [1] => Educational environments@en
                    [2] => Collaborative learning@en
                    [3] => Virtual education@en
                    [4] => Theoretical review@en
                    [5] => Redes sociales@es
                    [6] => Entornos educativos@es
                    [7] => Aprendizaje colaborativo@es
                    [8] => Educación virtual@es
                    [9] => Revisión teórica@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 4
                    [nr] => 
                    [year] => 2023
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2023-09-20
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.47909/awari.595
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
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                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/59
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                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/59/54
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        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => Copr
                    [1] => by-nc/4.0
                )

        )

)