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

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 269
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Social network analysis in the classroom: A case study@en
                    [1] => Análisis de redes sociales en el aula: un estudio de caso@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => The Social Network Analysis (SNA) based on graph theory is employed to diagnose the composition, position of actors, and community distribution within a social network. Understanding these factors is crucial in the educational context, as affective relationships have been shown to influence students´ academic performance. This study focuses on a specific case to identify choice and rejection relationships among students, roles, and subgroup compositions, aiming to implement strategies to enhance the classroom climate. With a descriptive scope and cross-sectional experimental design, the research applies SNA methods and a sociometric questionnaire to a group of 33 sixth-grade high school students. Classic software tools were employed to organize, present, and analyze the data (Gephi and NodeXL). Findings indicate that the analyzed network lacks concentration in choice relationships, spreading through reciprocal links. However, rejection relationships tend to centralize among a few students, highlighting the vulnerability of a particular student facing high rejection despite occupying a privileged bridge position between gender communities. The group exhibits strong segmentation into communities with high internal cohesion but low interconnection, primarily composed of students of the same gender. This contributes to and reinforces the overall lack of integration within the studied group.@en
                    [1] => El Análisis de Redes Sociales (ARS) basado en la teoría de grafos se utiliza para diagnosticar la composición, la posición de los actores y la distribución en comunidades dentro de una red social. En el contexto educativo, comprender estos factores es crucial, ya que las relaciones afectivas han demostrado influir en el rendimiento académico de los alumnos. Este estudio se centra en un caso específico para identificar las relaciones de elección y rechazo entre estudiantes, roles y la composición de subgrupos, con el objetivo de implementar estrategias para mejorar el clima en el aula. La investigación, de alcance descriptivo y diseño experimental transversal, utiliza métodos de ARS y un cuestionario sociométrico en un grupo de 33 estudiantes de sexto año de secundaria. Se emplean herramientas clásicas de software (Gephi y NodeXL) para organizar, presentar y analizar los datos. Los hallazgos revelan que la red analizada no muestra concentración en las relaciones de elección, distribuyéndose en enlaces recíprocos. Sin embargo, las relaciones de rechazo tienden a centralizarse en pocos alumnos, evidenciando la vulnerabilidad de un estudiante particular que experimenta un alto nivel de rechazo, a pesar de ocupar una posición privilegiada como puente entre las comunidades de géneros. El grupo exhibe una fuerte segmentación en comunidades con alta cohesión interna, pero baja vinculación entre sí, compuestas principalmente por estudiantes del mismo género. Esto contribuye y refuerza la falta de integración general en el grupo estudiado.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Jessica M. Vieytes
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Social network analysis@en
                    [1] => Sociometry@en
                    [2] => Education@en
                    [3] => Classroom environment@en
                    [4] => Análisis de redes sociales@es
                    [5] => Sociometría@es
                    [6] => Educación@es
                    [7] => Ambiente áulico@es
                )

        )

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

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2023-04-15
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.47909/awari.45
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/45
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/45/43
                                )

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                )

        )

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

        )

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

        )

)