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                    [id_jnl] => 88
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    [1] => stdClass Object
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                    [section] => 269
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                (
                    [0] => When the attributive becomes relational. A look at the innovative sector in Argentina based on regional customer and supplier networks by activity branch (2012-2018)@en
                    [1] => Cuando lo atributivo se torna relacional. Una mirada al sector innovador en Argentina a partir de redes de clientes y proveedores regionales por ramas de actividades (2012-2018)@es
                )

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    [3] => stdClass Object
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                    [0] => This paper compares the relations between certain branches and companies of the innovative sector in Argentina with the regions of the map with which they maintain commercial ties. Data from the National Survey on the Dynamics of Employment and Innovation (ENDEI- MINCyT and MTEySS) were used, which contain anonymous information on innovative companies. From these data, relational matrices were constructed in 2-modes between nodes (companies), suppliers and clients (at the regional level), segmented by company size and activity branches. We focused on identifying differences and similarities according to the company´s activity branch and size and the composition of regional exchanges between clients and suppliers for the periods 2010-2012 and 2016-2018, which corresponded to the ENDEI I and II bases. 2-mode networks were built, linking companies with the regions where they have customers and suppliers, resulting in multiplexed bimodal networks. Specific branches were selected, and one-mode networks were built, obtaining symmetric matrices from the technique of co-occurrence and affiliation. Cohesion and centrality calculations yielded higher density for customer networks than supplier networks in food sectors. Regarding centrality, a higher nodal degree of exports was observed for the Mercosur region and the rest of Latin America and, to a lesser extent, for the regions of the northern hemisphere (Europe, USA and Canada) and Asia, Africa, and Oceania. Regarding the nodal degree and density, a drop was observed between periods when comparing the two surveys, except for clients in the case of the pharmaceutical industry, showing an improvement for the Mercosur, Latin America and Asia regions.@en
                    [1] => En este trabajo se comparan las relaciones entre determinadas ramas y empresas del sector innovador de Argentina con las regiones del mapa con las que éstas mantienen vínculos comerciales. Se emplearon los datos de la Encuesta Nacional de Dinámica de Empleo e Innovación (ENDEI– MINCyT y MTEySS), los cuales contienen información anónima de empresas innovadoras. A partir de estos datos se construyeron matrices relacionales de 2-modos entre nodos (empresas), proveedores y clientes (a nivel regional), segmentados por tamaño de empresa y ramas de actividad. Nos centraremos en identificar las diferencias y similitudes, según rama de actividad y tamaño de la empresa, de la composición de intercambios regionales entre clientes y proveedores para los períodos de tiempo comprendidos entre los años 2010-2012 y 2016-2018, los cuales corresponden a las bases ENDEI I y II respectivamente. Se construyeron redes de 2-modos, vinculando a las empresas con las regiones en la que tiene clientes y proveedores, dando por resultado la obtención de redes bimodales multiplexadas. Se seleccionaron ramas específicas y se construyeron redes de un solo modo, obteniendo matrices simétricas a partir de la técnica de co-ocurrencia y afiliación. Los cálculos de cohesión y centralidad arrojaron una densidad mayor para las redes de clientes que para las de proveedores en sectores como alimentos. En cuanto a la centralidad, se observó un mayor grado nodal de exportaciones para la región del Mercosur y el resto de América Latina y, en menor medida, para las regiones del hemisferio norte (Europa, EEUU y Canadá) y Asia, África y Oceanía. En cuanto al grado nodal y la densidad, se observó una caída entre períodos al comparar las dos encuestas, a excepción de los clientes en el caso de la industria farmacéutica, evidenciándose una mejora para las regiones del Mercosur, Latinoamérica y Asia.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Nicolás Vladimir Chuchco
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => 2-mode networks@en
                    [1] => Innovation@en
                    [2] => Employment@en
                    [3] => Redes de 2-modos@es
                    [4] => Innovación@es
                    [5] => Empleo@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 3
                    [nr] => 
                    [year] => 2022
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2022-05-12
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.47909/awari.149
                                )

                        )

                )

        )

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                            [type] => HTTP
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                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/2
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                    [1] => stdClass Object
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                            [type] => HTTP
                            [value] => Array
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                                    [0] => https://awari.pro-metrics.org/index.php/a/article/view/2/2
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    [10] => stdClass Object
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            [language] => Array
                (
                    [0] => es
                )

        )

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