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                            [identifier] => oai:infonomy.scimagoepi.com:article/158
                            [datestamp] => 2026-08-26T08:14:09Z
                            [setSpec] => infonomy:Research
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                                    [title] => Array
                                        (
                                            [0] => El reto de analizar comunidades de influencers en la era algorítmica: un modelo metodológico para redes sociales audiovisuales con feed de recomendación 
                                            [1] => The challenge of analyzing influencer communities in the algorithmic age: a methodological framework for audiovisual social media platforms with algorithmic recommendation feeds
                                        )

                                    [creator] => Medel Vivas, Laura
                                    [subject] => Array
                                        (
                                            [0] => Social media networks
                                            [1] => Influencer marketing
                                            [2] => Digital communities
                                            [3] => Online interaction
                                            [4] => Graph theory
                                            [5] => Algorithmic platforms
                                            [6] => Recommendation systems
                                            [7] => Public comments
                                            [8] => Research methodology
                                            [9] => Social network analysis
                                            [10] => Algorithmic feed
                                            [11] => TikTok
                                            [12] => Redes sociales
                                            [13] => Influencer marketing
                                            [14] => Comunidades digitales
                                            [15] => Interacción online
                                            [16] => Teoría de grafos
                                            [17] => Plataformas algorítmicas
                                            [18] => Sistemas de recomendación
                                            [19] => Comentarios públicos
                                            [20] => Metodología de investigación
                                            [21] => Análisis de redes sociales
                                            [22] => Feed algorítmico
                                            [23] => TikTok
                                        )

                                    [description] => Array
                                        (
                                            [0] => La evolución de las redes sociales hacia sistemas de recomendación algorítmica obliga a replantear cómo se identifican y analizan las comunidades articuladas alrededor de influencers. Las métricas públicas, como el número de seguidores o las ratios de interacción, no ofrecen una lectura clara de la estructura de la participación: seguir a un perfil influye, pero no limita la exposición de su contenido y la interacción no implica seguimiento previo. Por ello, este trabajo propone un modelo metodológico basado en acciones visibles que permite identificar y comparar comunidades de interacción observable a partir de comentarios públicos. El modelo combina el análisis de redes sociales (ARS) y el análisis de comentarios. Representa las relaciones entre influencers y participantes, distingue la comunicación dirigida al creador de los intercambios entre usuarios, identifica la participación recurrente y estima el solapamiento de comentadores entre perfiles. El protocolo se aplica de forma exploratoria a publicaciones de TikTok de diez influencers españoles del sector gastronómico. Los resultados muestran una participación mayoritariamente puntual y centralizada, junto con una franja minoritaria de conversación entre usuarios individuales. Las comunidades detectadas se organizan principalmente en torno a los ecosistemas de cada influencer, no como subgrupos temáticos densos. El modelo permite a los profesionales de la comunicación comparar estructuras de participación y valorar si distintos perfiles o estrategias generan respuestas puntuales o relaciones continuadas. Se concreta en un protocolo replicable y adaptable a otras redes sociales audiovisuales o con feeds algorítmicos, que incorpora criterios éticos y normativos para la obtención y el tratamiento de los datos.
                                            [1] => The evolution of social media platforms toward algorithmic recommendation systems calls for a rethinking of how communities built around influencers are identified and analyzed. Public metrics, such as follower counts and engagement rates, do not provide a clear picture of participation structures: following an account affects content exposure but does not determine it, and interaction does not require users to already follow the account. This study therefore proposes a methodological model based on publicly visible actions to identify and compare communities of observable interaction through public comments. The model combines social network analysis (SNA) with comment analysis. It maps relationships between influencers and participants, distinguishes communication directed at creators from exchanges among users, identifies recurring participation, and estimates the overlap of commenters across accounts. The protocol is applied on an exploratory basis to TikTok posts by ten Spanish food influencers. The findings reveal that participation is predominantly occasional and centralized, alongside a smaller share of conversations among individual users. The communities identified are organized primarily around each influencer’s ecosystem rather than as dense, topic-based subgroups. The model enables communication professionals to compare participation structures and assess whether different accounts or strategies generate one-off responses or sustained relationships. It is operationalized as a replicable protocol that can be adapted to other audiovisual social media platforms or platforms with algorithmically curated feeds, while incorporating ethical and regulatory criteria for data collection and processing.
                                        )

                                    [publisher] => Ediciones Profesionales de la Información S.L. (EPI SL)
                                    [date] => 2026-08-21
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
                                        )

                                    [format] => application/pdf
                                    [identifier] => Array
                                        (
                                            [0] => https://infonomy.scimagoepi.com/index.php/infonomy/article/view/158
                                            [1] => 10.3145/infonomy.26.037
                                        )

                                    [source] => Array
                                        (
                                            [0] => Infonomy; Vol. 4 No. 5 (2026): Metodologías de investigación en comunicación e información
                                            [1] => Infonomy; Vol. 4 Núm. 5 (2026): Metodologías de investigación en comunicación e información
                                            [2] => 2990-2290
                                        )

                                    [language] => es
                                    [relation] => https://infonomy.scimagoepi.com/index.php/infonomy/article/view/158/202
                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2026 Laura Medel Vivas
                                            [1] => https://creativecommons.org/licenses/by/4.0
                                        )

                                )

                        )

                )

        )

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