Haciendo visible lo invisible: visualización de la estructura de las relaciones en red en &lt;i&gt;Twitter&lt;/i&gt; por medio del análisis de redes sociales

Del-Fresno-García, Miguel

doi:10.3145/epi.2014.may.04

Cited by 26 publications

(17 citation statements)

References 12 publications

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“…Among the most common visual representations are maps (PinoDíaz et al 2012). The representation of a social network by using a graph with nodes (individuals) connected by lines (relations), manifests concepts as 578 the one of centrality, determined by the degree of connections of a node with others (Del Fresno-García, 2014). In the analysis of the co-authorship ratio of the 123 most relevant researchers (according to their H index), authors with a high H index are represented graphically in a map of co-authorships with colored circles and size variations (a greater number of citations = greater size), qualities that are directly proportional to their influence (citations) and relevance (H-index) (color intensity).…”

Section: Resultsmentioning

confidence: 99%

Description of the scientific domain Macrobrachium through the analysis of the authors with higher productivity and higher H index according to Scopus

Chong-Carrillo

Moraes‐Valenti

Vega-Villasante

et al. 2018

LAJAR

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ABSTRACT. One of the most important domains in aquaculture is Macrobrachium, since it represents one of the most cultured crustacean genus worldwide. Description of the authors that study and publish on the subject constitutes a solid contribution to the knowledge of this genus. Indicators of productivity, visibility, relevance, sex and co-authorship of the authors were collected from the Scopus database for the period 1980-2016 to describe the Macrobrachium domain. Conceptual mapping techniques were used to visualize co-author relationships. The greatest amount of contributions to knowledge of the genus Macrobrachium was shown to come from researchers in China, Brazil, USA and India. Only seven women are among the most productive and relevant authors. Multiple co-author networks exist in which the most relevant researchers are the center. Many networks appear to be closed groups with little interaction between external groups or researchers.

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Section: Resultsmentioning

confidence: 99%

Description of the scientific domain Macrobrachium through the analysis of the authors with higher productivity and higher H index according to Scopus

Chong-Carrillo

Moraes‐Valenti

Vega-Villasante

et al. 2018

LAJAR

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“…Las huellas digitales de la comunidad virtual pueden investigarse mediante técnicas netnográficas de enfoque cualitativo o mixto, lo que brinda flexibilidad al investigador en el diseño de sus estudios, y tratar las huellas digitales como unidades de análisis cualitativas o tratarlas como variables cuantitativas. A modo ilustrativo, el texto puede codificarse e interpretarse mediante el método eminentemente cualitativo de análisis de contenido (Ivan, 2019); mientras que los vínculos de seguimiento unidireccionales y bidireccionales en Twitter se puede modelar una red que muestre gráficamente la influencia de una comunidad y sus ramificaciones (Del Fresno, 2014, 2015; al mismo tiempo que puede aplicarse la estadística descriptiva a los "me gusta" y comentarios positivos o negativos vertidos en las plataformas transmedia (Schier & Linsenmeyer, 2019).…”

Section: Modelado De La Estructura Transmedia De La Comunidad Virtualunclassified

El estudio netnográfico de comunidades transmedia en torno al podcast: nuevos horizontes en la investigación de ecologías de aprendizaje digitales

Celaya

Durán

Arbués

2020

Education in the Knowledge Society

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“…SNA is based on the premise of the anti-categorical imperative (Emirbayer andGoodwin, 1994, p. 1414), which privileges relations over the categorical attributes of subjects to understand and explain individual or collective social processes. According to Linton C. Freeman (2000 and, SNA involves four defining properties: a) it is motivated by a structural intuition of social relations; b) it is grounded in the systematic collection of empirical data; c) it relies on mathematical and computational tools to analyze and visualize such data; and d) it draws on graphic imagery to reveal the relationships and patterns of interactions, thus providing significant structural insights and explanations (Del Fresno, 2014).…”

Section: Social Work and Social Network Analysismentioning

confidence: 99%

Connecting the Disconnected: Social Work and Social Network Analysis. A Methodological Approach to Identifying Network Peer Leaders

García¹

2015

Arbor

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Social network theory and analysis (SNA) offers a useful conceptual framework and a robust set of methods for understanding, analysing, and representing the pattern of social interactions that surround individuals forming an overall network of ties. SNA provides both insights and applications regarding relational structures that may be consequential for individual and collective agency. Despite the fact that both SNA and social work focus on relationships and behaviour, and that each discipline could substantively inform the other, there remains a significant lack of intersection between the two disciplines. In response to this gap, SNA applied to social work can provide additional ways to both diagnose and intervene behaviourally through the following approaches: a) by identifying key players in promoting the dissemination of behavioral changes in networks; b) by segmenting and identifying groups, cliques and communities; c) by supporting behavioural change through social ties surrounding the individual; and d) by aligning and applying specific interventions that draw on mutually interactive processes in terms of individual influences on networks, as well as network influences on individuals. SNA provides social work with an additional lens and set of tools based on the constellation of interactions surrounding individuals, families, groups or communities that supports understanding, diagnosis, and intervention.RESUMEN: La Teoría y Análisis de Redes Sociales (SNA) ofrece un conjunto de métodos de análisis de las interacciones sociales de los seres humanos, que permiten de forma específica investigar las estructuras relacionales y la representación de éstas como redes. SNA proporciona tanto acceso a nuevo conocimiento como la representación de las estructuras relacionales y como éstas pueden ser consecuencia de la acción individual y colectiva. A pesar de que tanto el SNA como el Trabajo Social tienen su foco en las relaciones y el comportamiento, de lo que ambas pueden beneficiarse, es significativa la falta de intersección entre ambas disciplinas. En respuesta a este déficit, el SNA puede ser aplicado al Trabajo Social desde los siguientes enfoques: a) la identificación de individuos claves a la hora de promover la difusión de cambios de comportamiento en redes; b) la segmentación e identificación de grupos, cliques y comunidades; c) el cambio de comportamientos a través de los miembros de la red y no del trabajador social como agente de cambio central; y d) que la intervención orientada al cambio de comportamientos puede ser bidireccional: individuos-red y redindividuos. El SNA aporta al Trabajo Social la base estructuralrelacional para trabajar con individuos, grupos, familias o comunidades basados en patrones de interacción social, traduciendo los conceptos de las Ciencias Sociales y del Trabajo Social al servicio del diagnóstico y la intervención en red.

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Haciendo visible lo invisible: visualización de la estructura de las relaciones en red en <i>Twitter</i> por medio del análisis de redes sociales

Cited by 26 publications

References 12 publications

Description of the scientific domain Macrobrachium through the analysis of the authors with higher productivity and higher H index according to Scopus

Description of the scientific domain Macrobrachium through the analysis of the authors with higher productivity and higher H index according to Scopus

El estudio netnográfico de comunidades transmedia en torno al podcast: nuevos horizontes en la investigación de ecologías de aprendizaje digitales

Connecting the Disconnected: Social Work and Social Network Analysis. A Methodological Approach to Identifying Network Peer Leaders

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